2017 IEEE International Conference on Big Data and...

Conference Program

Organized by

Technically Co-Sponsored by

February 13-16, 2017MAISON GLAD JEJU Hotel, Jeju Island, Korea

2017 IEEE International Conference on Big Data and Smart Computing

BigComp 2017 www.bigcomputing.org

Sponsored by

Patron by

Information Processing Society of Japan

Table of Contents

Steering & Organizing Committees ......................................................................3

Technical Program Committee ..............................................................................4

Message from the General Co-Chairs ...................................................................6

Message from the Program Co-Chairs ................................................................7

Conference Program (At a Glance) .......................................................................8

Keynote Speeches ....................................................................................................9

Invited Talk ............................................................................................................ 11

Paper Sessions .......................................................................................................12

Tutorial-1 ...............................................................................................................17

Workshop-1 ...........................................................................................................18

Workshop-2 ...........................................................................................................20

Workshop-3 ...........................................................................................................22

Conference Room Map .........................................................................................23

Venue ......................................................................................................................24

Travel Information ................................................................................................26

BigComp 2017

2 2017 IEEE International Conference on Big Data and Smart Computing

Steering & Organizing Committees

Steering CommitteeKyu-Young Whang KAIST, Korea (Chair)Tok Wang Ling National University of Singapore, Singapore (Vice Chair)Chong-Kwon Kim Seoul National University, Korea (Secretary)Kang G. Shin University of Michigan, USA (Adviser)Jiawei Han University of Illinois at Urbana-Champaign, USAIl-Yeol Song Drexel University, USAChoong Seon Hong Kyung Hee University, KoreaJee-In Kim Konkuk University, Korea

General Co-Chairs Choong Seon Hong Kyung Hee University, KoreaXiaofang Zhou University of Queensland, Australia

Organizing ChairJinho Kim Kangwon National University, Korea

Program Co-Chairs Song Chong KAIST, KoreaWookey Lee Inha University, KoreaJaideep Srivastava University of Minnesota, USAJeffrey Yu The Chinese University of Hong Kong, China

Publication Co-ChairsHo-Jin Choi KAIST, KoreaWen-Chih Peng National Chiao Tung University, TaiwanYasushi Sakurai University of Kumamoto, Japan

Publicity Co-ChairsXiaoyong Du Renmin University, ChinaSeong-Ho Jeong Hankuk University of Foreign Studies, KoreaYuhong Liu Santa Clara University, USAYang-Sae Moon Kangwon National University, KoreaWalid Saad Virginia Technology, USAKatsuyuki Yamazaki Nagoya University of Technology, JapanDemetris Zeinalipour University of Cyprus, Cyprus

Tutorial Co-ChairsMohamed Sharaf University of Queensland, AustraliaSiu Ming Yiu University of Hong Kong, ChinaByoung-Tak Zhang Seoul National University, Korea

Workshop Co-ChairsSourav Bhowmick Nanyang Technological University, SingaporeBong-Hee Hong Pusan National University, Korea

Finance Co-ChairsHaruo Yokota Tokyo Institute of Technology, JapanYong-Ik Yoon Sookmyung Women’s University, Korea

Local Arrangement Co-ChairsHeejoon Chae Seoul National University, KoreaJunghoon Lee Jeju National University, Korea

Registration Co-ChairsZhifeng Bao RMIT University, AustraliaMin Song Yonsei University, Korea

Web Co-ChairsChulyun Kim Sookmyung Women’s University, Korea

Carson K. Leung University of Manitoba, Canada

International Liaison Co-ChairsYun Jang Sejong University, KoreaSun Kim Seoul National University, Korea

Steering Committee LiaisonTok Wang Ling National University of Singapore, Singapore

BigComp 2017

3www.bigcomputing.org

Technical Program Committee

Program Committee Amr El Abbadi University of California Santa BarbaraSanghyun Ahn University of SeoulAmir Alavi Michigan State UniversiEiji Aramaki The University of TokyoEiji Aramaki NAISTNidhi Arora Locester UniversityPaolo Atzeni Universita’ Roma TreSivaji Bandyopadhyay Jadavpur UniversityZhifeng Bao RMIT UniversityKhalid Belhajjame Universite Paris-DauphineSourav Bhowmick Nanyang Technological UniversityStephane Bressan National University of SingaporeZhipeng Cai Georgia State UniversityTru Cao Ho Chi Minh City University of TechnologyPu-Jen Cheng National Taiwan UniversityEunmi Choi Kookmin UniversityHo-Jin Choi KAISTSoo-Mi Choi Sejong UniversityWonik Choi Inha UniversityY. Choi Eulji UniversitySong Chong KAISTSoon Ae Chun CUNYYoungjoo Chung Rakuten institute of technologyBin Cui Peking UniversityAlfredo Cuzzocrea University of TriesteMin-Yuh Day Tamkang UniversityUgur Demiryurek USCGill Dobbie University of AucklandSergio Flesca DEIS – University of CalabriaGeorge Fletcher Eindhoven University of TechnologyHong Gao Harbin Institute of TechnologyWei Gao Qatar Computing Research InstituteJames Geller New Jersey Institute of TechnologyHyoil Han Illinois State UniversityJunghyun Han Korea UniversityAllan Hanbury Technische Universität WienTakahiro Hara Osaka UniversityRyuichiro Higashinaka NTTJen-Wei Huang National Cheng Kung UniversityZi Hunag University of QueenslandJeong-Hyon Hwang State University of New York – Albany

Seung-Won Hwang Yonsei UniversityJonghwan Hyeon Korea Advanced Institute of Science and TechnologyYoussef Iraqi Khalifa UniversityChanki Jeong Kookmin UniversityKarpjoo Jeong Konkuk UniversitySeong-Ho Jeong Hankuk University of Foreign StudiesHankui Jin KAISTNobuhiro Kaji Yahoo Japan CorporationJaewoo Kang Korea UniversitySanggil Kang Inha UniversityU Kang Seoul National UniversitySarvnaz Karimi CSIRODaisuke Kawahara Kyoto UniversityYukiko Kawai Kyoto Sankyo UniversityUzay Kaymak Eindhoven University of TechnologyLatifur Khan The University of Texas at DallasChulyun Kim Sookmyung Women’s UniversityDeok-Hwan Kim INHA UniversityDongsoo Kim Soongsil UniversityJee-In Kim Konkuk UniversityJinho Kim Kangwon National UniversityJumi Kim Korea Small Business InstituteSang-Wook Kim Hanyang UniversityYongguk Kim Sejong UniversityYoung-Kuk Kim Chungnam National UniversityHiroyuki Kitagawa University of TsukubaIn-Young Ko Korea Advanced Institute of Science and TechnologyWei-Shinn Ku Auburn UniversityTedtaekyoung Kwon SNUWai Lam The Chinese University of Hong KongJae-Gil Lee KAISTJungryun Lee ChungAng UniversitySang-Won Lee Sungkyunkwan UniversitySanghwan Lee Kookmin UniversitySangkeun Lee Korea UniversityWookey Lee Inha UniversityYongduck Lee Rakuten IncYoung-Koo Lee Kyung Hee UniversityCarson Leung University of ManitobaCheng-Te Li Academia SinicaChun-Hung Li Hong Kong Baptist UniversityGang Li Deakin UniversityJiuyong Li University of South Australia

BigComp 2017


Technical Program Committee

Tianrui Li Southwest Jiaotong UniversityWenjie Li The Hong Kong Polytechnic UniversityTaesoo Lim Sungkyul UniversityYujin Lim Sookmyung Women’s UniversityTokwang Ling NUSGuanfeng Liu Soochow UniversityMengchi Liu Carleton UniversityWoong-Kee Loh Gacheon Univ.Robert Luk The Hong Kong Polytechnic UniversityPaolo Merialdo Universita degli Studi Roma TreJun-Ki Min Korea University of Technology and EducationMukesh Mohania IBM India Research LabYang-Sae Moon Kangwon National UniversityPonrudee Netisopakul KMAKE LABJaechun No Sejong UniversityYasuo Okabe Kyoto UniversityNaoaki Okazaki Tohoku UniversityCheong Hee Park Chungnam National UniversityHohyun Park Chung-Ang UniversitySanghyun Park Yonsei UniversitySehyun Park Daegu UniversityMario Pavone University of CataniaZhiyong Peng Wuhan UniversityMatthias Renz Ludwig-Maximilians UniversityMarkus Schneider University of FloridaFriedhelm Schwenker Ulm UniversityTomohide Shibata Kyoto UniversityKyuseok Shim Seoul National UniversityMyung Keun Shin SK C&CAkbar Siami Namin Texas Tech UniversityMye Sohn Sunkkyunkwan UniversityMin Song Yonsei UniversityJaideep Srivastava University of MinnesotaKazutoshi Sumiya Kwansei Gakuin UniversityVincent Tseng National Chiao Tung UniversityYuen-Hsien Tseng National Taiwan Normal UniversityShoko Wakamiya Nara Institute of Science and TechnologyChaokun Wang Tsinghua UniversityJianmin Wang Tsinghua UniversityWei Wang UNSWWendy Hui Wang Stevens Institute of TechnologyJef Wijsen University of MonsFai Wong University of Macau

Raymondchi-Wing Wong the Hong Kong University of Science and TechnologyHuayu Wu Institute for Infocomm ResearchXiaokui Xiao Nanyang Technological UniversityMeng Xiaofeng Renmin University of ChinaStephan Yau Arizona State UniversityJeonghyun Yi Soongsil UniversityHongzhi Yin University of QueenslandSeongjoon Yoo Sejong UniversityYong-Ik Yoon Sookmyung Women’s UniversityGe Yu Northeastern UniversityHwanjo Yu POSTECHJeffrey Yu The Chinese University of Hong KongLiang-Chih Yu Yuan Ze UniversityMin-Ling Zhang Southeast UniversityXiaofang Zhou University of QueenslandYu Zhuang Texas Tech University

BigComp 2017


Greetings

Message from the General Co-Chairs

Dear IEEE BigComp2017 Participants,

Welcome to Jeju island and the 4th International Conference on Big Data and Smart Computing 2017 (IEEE BigComp 2017). The conference will take place during February 13th February 16th, 2017 at the Maison Glad Jeju Hotel in Jeju Island, Korea. It is our great pleasure to meet all of the participants, authors, invited speakers, and distinguished guests in IEEE BigComp 2017.

IEEE BigComp 2017 is co-sponsored by KIISE and IEEE Computer Society, and technically co-sponsored by China Computer Federation and Information Processing Society of Japan. This year, we have received a number of good quality paper submissions and selected outstanding papers for presentation in IEEE BigComp 2017. We hope you will participate in twelve oral presentation sessions, three workshops and three poster sessions in various areas of big data and smart computing. In addition to presentations of recent research discoveries, we have also invited two distinguished keynote speakers, Prof. Doheon Lee in Bio-Synergy National Research Center, KAIST, Korea and Prof Zhi-Hua Zhou in Department of Computer Science & Technology, Nanjing University, China to share their insights on big data research and perspectives of machine learning, respectively. We believe that IEEE BigComp 2017 will be an excellent opportunity to share the recent research trends among the experts from around the world, and we hope that you will enjoy this world premier conference.

Jeju Island, the warmest region in Korea, is well known for natural wonders, including waterfalls, white sand beaches and a dormant volcano at the center of the island. We hope that you will experience the rich heritage of Jeju Island and Korea and find a uniqueness of its customs. We are sure that you will truly enjoy this conference and wish you a memorable stay!

IEEE BigComp 2017 General Co-chairs

Choong Seon HongKyung Hee University, Korea

Xiaofang ZhouUniversity of Queensland, Australia

BigComp 2017


Greetings

Message from the Program Co-Chairs

Dear all participants,

We are very pleased to welcome you to the 4th International Conference on IEEE Big Data and Smart Computing (IEEE BigComp2017), held in Jeju Island, Korea on February 13-16, 2017. The “BigComp” conference aims to provide an international forum for current studies, challenges, research results, system developments, and practical experiences in the emerging fields of big data and smart computing. Continuing the success of the previous events in Bangkok (2014), Jeju (2015), and Hong Kong (2016), we are very confident that IEEE BigComp2017 has also succeeded in providing a high-quality technical program with plenary talks, paper sessions, tutorials and workshops. This year, we received 153 submissions from 15 countries, which were carefully reviewed by 143 program committee members and sub-reviewers.

We accepted 38 submissions as regular papers (with the acceptance ratio 25.0%), and additional 30 as short papers. These 68 papers constitute the main technical program of IEEE BigComp2017, which is logistically divided into oral presentation (42 papers) and poster presentation (30 papers). Please note that oral vs. poster presentation does not indicate the difference in the levels of the papers – even some regular papers are scheduled to be presented in the poster session. We are also very happy to invite two distinguished keynote speakers, one tutorial instructor, and panelists for making this conference more fruitful and interesting. In addition, we are lucky to host three co-located workshops on hot research areas, inviting two distinguished keynote speakers and 20 papers in total.

We would like to thank all the contributors who helped in putting this program together, especially to the General Chairs, and Professor Ling, the Steering Committee Liaison, for their devotion and excellent advice throughout the preparation of this conference. We would also like to appreciate the vast effort of all functional chairs, program committee members and sub-reviewers, and workshop organizers. Last but not least, we would like to thank all authors and participants who submitted their invaluable contribution and time to attend this exciting event of IEEE BigComp2017.

Wookey LeeINHA University,

Korea

Jaideep SrivastavaUniversity of Minnesota,

USA

Song Chong KAIST,Korea

Jeffrey Xu YuChinese University of

Hong Kong, China

BigComp 2017


Conference Program (At a Glance)

TIME Track 1(CRYSTAL)

Track 2(JADE)

Track 3(AMETHYST)

Day1: February 13 (Monday), 201708:00 - 18:00 Registration08:30 - 09:45 WS-1: Keynote Speech09:45 - 10:30

WS-1: BigData4Healthcare10:30 - 11:00(CB)

11:00 - 12:3012:30 - 14:00 Lunch (AZALEA Restaurant) 14:00 - 15:15

Tutorial-1

WS-2: Keynote Speech

WS-3: ASC 201715:15 - 16:00

WS-2: Exobrain16:00 - 16:30(CB)16:30 - 18:0018:00 - 18:30 Break18:30 - 20:00 Welcoming Reception (CRYSTAL)

Day2 : February 14 (Tuesday), 201708:00 - 18:00 Registration08:30 - 10:30 Regular Session-1 Regular Session-2 Regular Session-310:30 - 10:40 Coffee Break10:40 - 11:00 Opening11:00 - 12:30 Keynote Speech-112:30 - 14:00 Lunch (AZALEA Restaurant)14:00 - 16:00 Regular Session-4 Regular Session-5 Regular Session-616:00 - 17:00 Invited Talk17:00 - 18:00 Poster Session-1 Poster Session-2 Poster Session-318:00 - 19:30 Banquet (CRYSTAL)

Day3 : February 15 (Wednesday), 201708:00 - 18:00 Registration09:00 - 10:30 Keynote Speech-210:30 - 11:00 Coffee Break11:00 - 12:40 Regular Session- 7 Regular Session-8 Regular Session-912:40 - 14:00 Lunch (AZALEA Restaurant)14:00 - 16:00 Regular Session-10 Regular Session-11 Regular Session-1216:00 - 16:20 Coffee Break16:20 - 17:50 Panel Discussion17:50 - 18:00 Closing

Day4 : February 16 (Thursday), 201708:00 - 18:00 Registration09:00 - 10:30 Business Meeting10:30 - 11:00 Coffee Break

BigComp 2017


Keynote Speeches

February 14 (Tuesday), 201711:00 - 12:30

Keynote Speech 1 : Bio-Synergy Analysis with a Virtual Human System CODASpeaker : Prof. Doheon Lee (Bio-Synergy National Research Center/KAIST, Korea)

Abstract:Recently, there are growing interests in combinational bio-agents interacting with multiple targets to overcome the

limitations of the current single target approaches. Many drug development efforts based on the Paul Ehrlich’s magic

bullet principle, where a single therapeutic agent with ideal selectively could successfully regulate a single target causing

a particular disease, have been suffering critical hindrances including unwanted off-target effects and degraded efficacy.

Synergistic regulation of multiple targets with multiple agents is expected to remedy those hindrances. Furthermore, recent

trends of 4P healthcare require more comprehensive spectrum of bio-agents for disease prevention as well as treatment.

Functional food and ingredients have drawing increasing attention especially for preventive medicine and life-time

healthcare. As they are composed of multiple components inherently, their precise interactions with human physiology are

thought to be synergistic regulation of multiple targets with multiple agents This talk introduces a national initiative where

multiple-agent-multiple-target systems biology technology for natural product-based healthcare is being developed. Core

components of the technology platform are virtual cell and human systems, which are computational models of molecular,

cellular, and organ-level physiological mechanisms. The synergistic effects of multiple agents on multiple targets are

simulated and predicted with those virtual systems, and validated in real systems including model cells and animals.

Short BiographyDoheon Lee received the B.S., M.S., and Ph.D. degrees in computer science from Korea Advanced

Institute of Science and Technology (KAIST), Korea, in 1990, 1992, and 1995, respectively. Currently,

he is a professor in Department of Bio and Brain Engineering, KAIST, and the director of Bio-Synergy

Research Center (BSRC), a Korean national research project where over 30 principal investigators are

collaborating for natural product bioinformatics and systems biology. He was a visiting professor of

Stanford University, Indiana University, Translational Genomics Research Institute (TGEN) and Univ.

of Texas at Austin, USA. He is also a technical advisor for CRS Diogenes SRL, Italy. He was an Associate Editor for ACM

Transactions on Internet Technology for nine years. He is also serving Computers in Biology and Medicine, International

Journal of Data Mining in Bioinformatics, and Healthcare Informatics Research as an Editorial Board Member. He is a co-

founder of ACM International Workshop on Data and Text Mining for Biomedical Informatics. He has published over 100

academic journal papers in bioinformatics, systems biology, and data mining. He also has around 20 technical patents.

BigComp 2017


Keynote Speeches

February 15 (Wednesday), 2017 09:00 - 10:30

Keynote Speech 2 : Machine Learning: Status and PerspectivesSpeaker : Prof. Zhi-Hua Zhou (Department of Computer Science & Technology, Nanjing University, China)

Abstract:Machine learning has achieved great success in both research and application during the past decade. It originated as a

research branch of artificial intelligence (AI), and becomes the mainstream of current AI research. In this talk, we will

briefly introduce the progress and status of machine learning, and discuss on some future perspectives. We will comment

on strengths and weakness of deep learning. Then, we will talk about challenges and opportunities introduced by open

environment machine learning tasks. Moreover, considering that in its current form of “data + algorithm”, machine

learning suffers from many weakness or even bottlenecks, such as the need of large amount of training data, the difficulty

of adapting to environmental change, the incomprehensibility, etc., we advocate to explore the form of learnware, which is

a well-performed pre-trained learning model with a specification explaining its purpose and/or specialty. Learnwares can

be put into a market, such that when one is going to tackle a machine learning task, rather than building his model from

scratch, he can do it in this way: Figure out his own requirement, and then browse/search the market, identify and adopt a

good learnware whose specification matches his requirement. In some cases he can use the learnware directly, whereas in

more cases he may need to use his own data to adapt/polish the learnware. Nevertheless, the whole process can be much

less expensive and more efficient than building a model from scratch by himself. If learnwares come to reality, strong

machine learning models can be achieved even for tasks with small data, and data privacy will become a less serious issue

for machine learning tasks. More importantly, it will enable common end users to achieve tricky learning performances

that previously can only be achieved by machine learning experts.

Short BiographyZhi-Hua Zhou is a Professor and Founding Director of the LAMDA Group at Nanjing University. His

main research interests are in artificial intelligence, machine learning and data mining. He authored the

books “Ensemble Methods: Foundations and Algorithms” and “Machine Learning (in Chinese)”, and

published more than 100 papers in top-tier international jour! nals and conference proceedings. His

work have received more than 23,000 citations, with a h-index of 74. He also holds 18 patents and has

good experiences in industrial collaborations. He has received various awards, including the National

Natural Science Award of China (premium science award in China), the PAKDD Distinguished Contribution Award, the

Microsoft Professorship Award, 12 international paper/competition awards, etc. He serves as the Executive Editor-in-Chief

of Frontiers of Computer Science, Associate Editor-in-Chief of Science China, and Associate Editor of ACM TIST, IEEE

TNNLS, etc. He founded ACML (Asian Conference on Machine Learning) and served as General co-chair of IEEE ICDM

2016, Program co-chair IJCAI 2015 Machine Learning track, etc. He also serves as the Chair of the IEEE CIS Data Mining

and Big Data Analytics Technical Committee, the CCF Artificial Intelligence Technical Committee, etc. He is a Fellow of

the ACM, AAAI, AAAS, IEEE, IAPR, IET/IEE and CCF.

BigComp 2017


February 14 (Tuesday), 201716:00 - 17:00

Invited Talk : Computational Methods for Large-Scale Microbiome Data AnalysisSpeaker : Prof. Xiaohua Tony Hu (College of Computing & Informatics, Drexel University, USA)

Abstract:We know little about microbes. Recently, huge amounts of data are generated from many microbiome projects such as the

Human Microbiome Project (HMP), Metagenomics of the Human Intestinal Tract (MetaHIT),etc. These datasets provide

opportunities to study the mystery of the microbial world, and analyzing these data will help us to better understand

the function and structure of the microbial community of the human body, earth and other environmental eco-systems.

However, the huge data volume, the complexity of the microbial community and the intricate data properties have created

a lot of opportunities and challenges for data analysis and mining. In this talk, I will discuss a computational framework to

tackle these challenging issues, focusing on the following three tasks: 1) visualization approaches to visualize microbiome

data and to infer microbial interactions and relations; 2) computational methods for identifying and visualizing higher-

order microbial interactions and relations from three types of microbiome datasets: metagenomes, bacterial genomes and

literatures respectively; 3) the extracted interactions and relations from different knowledge sources will be integrated in a

knowledge graph. Statistical and machine learning approaches is discussed for consistency checking of inferred microbial

interactions and relations.

Short BiographyXiaohua Tony Hu is a professor and the founding Co-Director of the NSF Center (I/U CRC) on Visual

and Decision Informatics (NSF CVDI), IEEE Computer Society Bioinformatics and Biomedicine

Steering Committee Chair, and IEEE Computer Society Big Data Steering Committee Chair. He

joined Drexel University in 2002. Earlier, he worked as a research scientist in Nortel Research Center,

and Verizon Lab (the former GTE labs). In 2001, he founded the DMW Software in Silicon Valley,

California. Tony’s current research interests are in data/text/web mining, big data and bioinformatics.

He has published more than 270 peer-reviewed research papers in various journals, conferences and books. His research

projects are funded by the National Science Foundation (NSF), US Dept. of Education, the PA Dept. of Health, the Natural

Science Foundation of China (NSFC). He has obtained more than US$8.0 million research grants in the past 8 years as PI

or Co-PI (PIs of 7 NSF grants, PI of 1 IMLS grant in the last 8 years), has graduated 18 Ph.D. students from 2006 to 2016,

and is currently supervising 10 Ph.D. students.

BigComp 2017


Invited Talk

Paper Sessions

Day 1 – Monday, February 13, 201708:30-12:30, February 13 (Monday)

Workshop 1 – BigData4Healthcare (08:30-12:30, JADE)Keynote Speech: Patient Safety Events Prediction and Prevention using Clinical Big Data from Electronic Health RecordsHyeoun-Ae Park (Professor, College of Nursing, Seoul National University, Korea / President, International Medical Informatics Association)

Session WS1-1: Deep Learning Techniques for Medical ApplicationsSession WS1-2: Healthcare Robotics and RehabilitationSession WS1-3: Big Data Techniques for Healthcare and Well-Being

14:00-18:00, February 13 (Monday)

Tutorial 1 (14:00-18:00, CRYSTAL)Machine Learning with Time Series DataJaesik Choi (Ulsan National Institute of Science and Technology, Korea)

Workshop 2 – Exobrain (14:00-18:00, JADE)Keynote Speech: Korean Semantic Resources & Korean Semantic Processing SystemsCheol-Young Ock (Professor, School of IT Convergence, University of Ulsan, Korea)

Invited Talk I: Commercial Deployment of Spoken Dialog SystemsKyungduk Kim (NAVER Corp.)

Invited Talk II: The Exobrain Project – Past, Present, and FutureHo-Jin Choi (KAIST)

Session WS2-1: Language Technologies for Human-Machine Knowledge Communication

Workshop 3 – ASC 2017 (14:00-18:00, AMETHYST)Session WS3-1: Sentimental and Affective Computing ApplicationsSession WS3-2: Sentimental and Affective Computing Models

18:30-20:00, February 13 (Monday)

Welcoming Reception (CRYSTAL)

Day 2 – Tuesday, February 14, 201708:30-10:30, February 14 (Tuesday)

Regular Session 1: Network Models for Smart Computing (I) Chair: Chong-Kwon Kim (Seoul National University)

[RS1-1] SEM: A Softmax-based Ensemble Model for CTR Estimation in Real-Time Bidding AdvertisingWen-Yuan Zhu (Industrial Technology Research Institute), Chun-Hao Wang, Wen-Yueh Shih, Wen-Chih Peng, and Jiun-Long Huang (National Chiao Tung University)

[RS1-2] The Design and Benchmarking of a Cloud-based Platform for Processing and Visualization of Traffic DataYikai Gong, Luca Morandini, and Richard O. Sinnott (The University of Melbourne)

[RS1-3] Improving Wi-Fi Performance using Smart APKiseog Kim, Junhyun Park, and Chong-kwon Kim (Seoul National University)

Regular Session 2: Big Data Science for Humanware Chair: Fong Ci Lin (National Taiwan University)

[RS2-1] Smart Computing Mechanism for Noise Detection and Elimination in ECG SignalTe-Wei Ho, Fong-Ci Lin, Ching-Miao Lin, and Feipei Lai (National Taiwan University)

[RS2-2] An Augmented Reality Application with Hand Gestures for Learning 3D GeometryHong-Quan Le and Jee-In Kim (Konkuk University)

[RS2-3] Head Pose-free Eye Gaze Prediction for Driver Attention StudyYafei Wang (Dalian University of Technology), Tongtong Zhao, Xueyan Ding (Dalian Maritime University), Jiming Bian (Dalian University of Technology), and Xianping Fu (Dalian Maritime University)

[RS2-4] Music Synchronization with Video Using Emotion Similarity (short)Ki-Ho Shin and In-Kwon Lee (Yonsei University)

Regular Session 3: Image Retrieval and Visualization Chair: Soonju Kang (Kyungpook National University)

[RS3-1] Efficient Fall Detection Based on Event Pattern Matching in Image StreamsHyun-Gook Kang, Minseo Kang, and Jae-Gil Lee (KAIST)

[RS3-2] Principal Elements for Visualizing Event Sequence Data Applied to 3D Cascading DiagramsYoungju Oh, Seokyeol Kim, and Jinah Park (KAIST)

BigComp 2017


Paper Sessions

[RS3-3] Homecare Kit Platform Supporting Multiple Bio-signals Acquisition and Analysis in Daily-lifeSeol Young Jeong, Moon Sik Choi, Soon Ju Kang, and Ho-Won Lee (Kyungpook National University)

10:40-11:00, February 14 (Tuesday)

Opening of IEEE BigComp2017 Chair: Wookey Lee (Inha University, Korea)Welcoming AddressesChoong Seon Hong, Kyung Hee University, KoreaXiaofang Zhou, University of Queensland, Australia


Keynote Speech 1 Chair: Wookey Lee (Inha University, Korea)

Bio-Synergy Analysis with a Virtual Human System CODADoheon Lee, Bio-Synergy National Research Center/KAIST, Korea


Regular Session 4: Systems for Big Data AnalyticsChair: Grace Park (University of Texas at Dallas)

[RS4-1] A Distributed In-situ Analysis Method for Large-scale Scientific DataDonghyoung Han, Yoon-Min Nam, and Min-Soo Kim (DGIST)

[RS4-2] IRIS: A Goal-Oriented Big Data Analytics Framework on Spark for Better Business DecisionsGrace Park (University of Texas at Dallas), Sooyong Park (Sogang University), Latifur Khan, and Lawrence Chung (University of Texas at Dallas)

[RS4-3] Design and Implementation of HDFS Data Encryption Scheme using ARIA Algorithm on HadoopYoungho Song, Young-Sung Shin, Miyoung Jang, and Jae-Woo Chang (Chonbuk National University)

Regular Session 5: Bioinformatics and Gene Sequence Big Data Chair: Sonia Thomas (State University of New York)

[RS5-1] Flow Maximization Analysis of Cell Cycle Pathway Activation Status in Breast Cancer SubtypesSangseon Lee, Ji Hwan Moon, Youngjune Park, and Sun Kim (Seoul National University)

[RS5-2] DP-miRNA: An Improved Prediction of Precursor microRNA using Deep Learning ModelJaya Thomas (Stony Brook University), Sonia Thomas (State University of New York, Korea), and Lee Sael (Stony Brook University)

[RS5-3] SSL: Inferring Disease-Related Genes using Sentence Structure and Literature Data

Jeongwoo Kim, Jungrim Kim, Won Gi Choi, and Sanghyun Park (Yonsei University)

[RS5-4] Position-Restricted Approximate String Matching with Metric Hamming DistanceSung-Hwan Kim and Hwan-Gue Cho (Pusan National University)

Regular Session 6: Artificial Intelligence Techniques for Big Data Chair: Seung-Ik Lee (ETRI)

[RS6-1] CP-decomposition with Tensor Power Method for Convolutional Neural Networks CompressionMarcella Astrid (University of Science and Technology) and Seung-Ik Lee (ETRI)

[RS6-2] Short-Term Load Forecasting in Smart Grid: A Combined CNN and K-Means Clustering ApproachXishuang Dong, Lijun Qian, and Lei Huang (Prairie View A&M University)

[RS6-3] Convolutional Neural Network using a Threshold Predictor for Multi-label Speech Act ClassificationGuanghao Xu, Hyunjung Lee, Myoung-Wan Koo, and Jungyun Seo (Sogang University)

[RS6-4] Human Activity Recognition From Accelerometer Data Using Convolutional Neural Network (short)Song-Mi Lee, Sang Min Yoon, and Heeryon Cho (Kookmin University)


Invited Talk Chair: Sun Kim (Seoul National University)

Computational Methods for Large-Scale Microbiome Data AnalysisXiaohua Tony Hu (College of Computing & Informatics, Drexel University, USA)


Poster Session 1Chair: Jinho Kim (Kangwon National University)

Sun Kim (Seoul National University)

[PS1-1] Find Spammers By Using Graph StructureChris Soo-Hyun Eom, Wookey Lee, and James Jung-Hun Lee (Inha University), Wan-sup Cho (Chungbuk National University)

[PS1-2] An Efficient Unscheduled Communication for Smart Body Centric NetworksMoshaddique Al Ameen and Choong Seon Hong (Kyung Hee University)

[PS1-3] Time-Sensitive Multi-Dimensional Recommender in Database SystemSungJin Park, Suan Lee, and Jinho Kim (Kangwon National

BigComp 2017


University)

[PS1-4] Bitmap-based Distributed Index Structure and Encrypted Query Processing Schemes for Outsourcing Mobile Sensitive DataHyunjo Lee, Hyeong-Jin Kim, Jae-Woo Chang (Chonbuk National University), and Hyeong-Il Kim (Agency for Defense Development)

[PS1-5] MRQUSAR: A Web-scale Distributed Spatial Reasoner Using MapReduceSangha Nam (KAIST) and Incheol Kim (Kyonggi University)

[PS1-6] Detection of Differentially Expressed Genes Using Feature Selection Approach from RNA-seqYongjun Piao and Keun Ho Ryu (Chungbuk National University)

[PS1-7] Multimodal Learning using Convolution Neural Network and Sparse AutoencoderTien Duong Vu, Hyungjeong Yang, Van Quan Nguyen, A-Ran Oh, and Mi-Sun Kim (Chonnam National University)

[PS1-8] Method of Intrusion Detection using Deep Neural NetworkJin Kim, Nara Shin, Seung Yeon Jo, Sang Hyun Kim (Seculayer Co., Ltd.)

Poster Session 2 Chair: Jinho Kim (Kangwon National University)


[PS2-1] Recurrent Neural Networks With Missing Information Imputation For Medical Examination Data PredictionHan-Gyu Kim (KAIST), Gil-Jin Jang (Kyungpook National University), Ho-Jin Choi (KAIST), Minho Kim, Young-Won Kim, and Jaehun Choi (ETRI)

[PS2-2] A Center-Biased Graph Learning Algorithm for Image ClassificationGiryong Choi, Chae-Gyun Lim, and Ho-Jin Choi (KAIST)

[PS2-3] Deep Neural Networks for Traffic Flow PredictionHongsuk Yi, Heejin Jung (KISTI), and Sanghoon Bae (Pukyung National University)

[PS2-4] Integration of Heterogeneous Time Series Gene Expression Data by Clustering on Time DimensionHongryul Ahn (Seoul National University), Heejoon Chae (Indiana University), Woosuk Jung (Konkuk University), and Sun Kim (Seoul National University)

[PS2-5] A Naive Bayes and Maximum Entropy Approach to Sentiment Analysis: Capturing Domain-Specific Data in WeiboPierre Ficamos, Yan Liu, and Weiyi Chen (TONGJI University)

Poster Session 3 Chair: Jinho Kim (Kangwon National University)


[PS3-1] Accelerating Community-Search Problem through Faster Graph DedensificationKifayat Ullah Khan, Tu Nguyen Anh, Mostafijur Rahman Akhond (Kyung Hee University), Waqas Nawaz(Islamic University Almadinah), and Young-Koo Lee (Kyung Hee University)

[PS3-2] In-door Location-based Smart Factory Cloud Platform supporting Device-to-Device Self-CollaborationHyeongGon Jo, SoonJu Kang, Hyo Jeon Kwon (Kyungpook National University), and Jae Duck Lee (Korea Electrotechnology Research Institute)

[PS3-3] LTE-U Sum-Rate Maximization Considering QoS and Co-existence IssueAnupam Kumar Bairagi, Nguyen H. Tran, and Choong Seon Hong (Kyung Hee University)

[PS3-4] Controlled Dropout: a Different Approach to Using Dropout on Deep Neural NetworkByungSoo Ko, Han-Gyu Kim, Kyo-Joong Oh, and Ho-Jin Choi (KAIST)

[PS3-5] Interactive Visual Analysis of miRNA Target Prediction ResultsDaekyoung Jung, Sehi L’Yi (Seoul National University), Bohyoung Kim (Hankuk University of Foreign Studies), and Jinwook Seo (Seoul National University)

[PS3-6] Extracting Top-K Interesting Subgraphs with Weighted Query SemanticsNoorul Amin, Kifayat Ullah Khan, Batjargal Dolgorsuren, and Young-Koo Lee (Kyung Hee University)

[PS3-7] A Predictive Analysis of Citizen Hotlines 1999 and Traffic Accidents: A Case Study of Taoyuan CityBo-Huei Lin and Shu-Fen Tseng (Yuan Ze University)

[PS3-8] Anomaly Detection for Big Log Data Using a Hadoop EcosystemSiwoon Son, Myeong-Seon Gil, and Yang-Sae Moon (Kangwon National University)


Banquet (CRYSTAL)

Paper Sessions

BigComp 2017


Paper Sessions

Day 3 – Wednesday, February 15, 201709:00-10:30, February 15 (Wednesday)

Keynote Speech 2 Chair: Chulyun Kim (Sookmyung Women’s University)

Machine Learning: Status and PerspectivesZhi-Hua Zhou, Department of Computer Science & Technology, Nanjing University, China

11:00-12:40, February 15 (Wednesday)

Regular Session 7: Network Models for Smart Computing (II)Chair: Kyoungsoo Bok (Chungbuk National University)

[RS7-1] On The Mining and Usage of Movement Patterns in Large Traffic NetworksMohammed Al-Zeyadi, Frans Coenen, and Alexei Lisitsa (University of Liverpool)

[RS7-2] NetInfoMiner: High-level Information Extraction From Network TrafficAhmed Amro, Sultan Almuhammadi, and Sami Zhioua (King Fahd University of Petroleum and Minerals)

[RS7-3] An Efficient Cache Management Scheme for Accessing Small Files in Distributed File SystemsKyoungsoo Bok, Hyunkyo Oh, Jongtae Lim, and Jaesoo Yoo (Chungbuk National University)

[RS7-4] Forensic Analysis of the Backup Database File in KakaoTalk Messenger (short)Jusop Choi, Jaewoo Park, and Hyoungshick Kim (Sungkyunkwan University)

Regular Session 8: IoT and Security Architecture for big data Chair: The-Hien Dang-Ha (University of Oslo)

[RS8-1] Graph of Virtual Actors (GOVA): a Big Data Analytics Architecture for IoTThe-Hien Dang-Ha (University of Oslo), Davide Roverso (eSmart Systems), and Roland Olsson (Hogskolen i Ostfold)

[RS8-2] Accelerated Search over Encrypted Cloud DataFateh Boucenna, Omar Nouali, Adel Dabah (CERIST), and Samir Kechid (USTHB)

[RS8-3] Efficient Parallel Summation on Encrypted Database SystemKentaro Horio, Hideyuki Kawashima, and Osamu Tatebe (University of Tsukuba)

[RS8-4] A Noise Parameter Configuration Technique to Mitigate Detour Inference Attack on Differential Privacy (short)Taebo Jung, Kangsoo Jung, Sehwa Park, and Seog Park (Sogang University)

Regular Session 9: Big Data and Mobile Applications Chair: Victor Parque (Waseda University)

[RS9-1] A Power- and Storage-Efficient HLS Media Server for Multi-Bitrate VOD ServicesSungchan Hur, Sukhyeun Cho, Youngho Kim, and Jeong Seop Sim (Inha University)

[RS9-2] On Succinct Representation of Directed Graphs (short)Victor Parque and Tomoyuki Miyashita (Waseda University)

[RS9-3] Machine Learning based Path Management for Mobile Devices over MPTCP (short)Jonghwan Chung, Dahyeon Han, Jiyoung Kim, and Chong-Kwon Kim (Seoul National University)


Regular Session 10: Moving Object and Spatial Computing Chair: Ho-Jin Choi (KAIST)

[RS10-1] A Four-Frames Differencing Technique for Moving Objects Detection in Wide Area SurveillanceAhmed Abdelli and Ho-Jin Choi (KAIST)

[RS10-2] Incremental Mining of High Utility Co-locations from Spatial DatabaseXiaoxuan Wang and Lizhen Wang (Yunnan University)

[RS10-3] Predicting Indoor Spatial Movement Using Data Mining and Movement PatternsLuan Duong Minh Lam, Antony Tang (Swinburne University of Technology), and John Grundy (Deakin University)

Regular Session 11: Challenges in Memory Management for big dataChair: Hideyuki Kawashima (University of Tsukuba)

[RS11-1] JUMPRUN: A Hybrid Mechanism to Accelerate Item Scanning for In-Memory DatabasesHongyeol Lim and Giho Park (Sejong University)

[RS11-2] Accelerating Read Atomic Multi-partition Transaction with Remote Direct Memory AccessNaofumi Murata, Hideyuki Kawashima, and Osamu Tatebe (University of Tsukuba)

[RS11-3] A Performance Study on Large-Scale Data Analytics Using Disk-Based and In-Memory Database SystemsPingfu Chao, Dan He, Shazia Sadiq (The University of Queensland), Kai Zheng (Soochow University), and Xiaofang Zhou (The University of Queensland)

[RS11-4] Challenges in Memory Subsystem Design for Future Smartphone SystemsYunjoo Park and Hyokyung Bahn (Ewha Womans University)

BigComp 2017


Regular Session 12: Semantic Web and Social InformaticsChair: Tak-Lam Wong(The Education University of Hong Kong)

[RS12-1] Sentiment Trend Analysis in Social Web EnvironmentsKyunglag Kwon, Yunwan Jeon, Chanho Cho, Jongwoo Seo, In-Jeong Chung (Korea University), and Hansaem Park (KAIST)

[RS12-2] Large-Scale Incremental OWL/RDFS Reasoning over Fuzzy RDF DataBatselem Jagvaral, Lee Wangon, Hyun-Kyu Park, Myungjoong Jeon, Nam-Gee Lee, and Young-Tack Park (Soongsil University)

[RS12-3] Revisit Tag-based Profiles In The Folksonomy: How Many Tags Are Sufficient For Profiling? (short)Haoran Xie (The Education University of Hong Kong), An Liu (Soochow University), Fu Lee Wang (Caritas Institute of Higher Education), Tak-Lam Wong (The Education University of Hong Kong), Xiao Liu (Soochow University), and Yanghui Rao (Sun Yat-sen University)


Panel Discussion


Closing of IEEE BigComp2017 Chair: Tok Wang Ling (National University of Singapore)

Farewell MessageChoong Seon Hong (Kyung Hee University, Korea)Xiaofang Zhou (University of Queensland, Australia)

Day 4 – Thursday, February 16, 201709:00-10:30, February 16 (Thursday)

Business Meeting

BigComp 2017


Paper Sessions

February 13 (Monday), 2017 14:00 -18:00

Machine Learning with Time Series DataLecturer : Prof. Jaesik Choi (Ulsan National Institute of Science and Technology, Korea)

AbstractTime series models are essential to predict the future events in various applications such as finance, military and weather

forecasting. This tutorial will first introduce traditional linear/non-linear dynamic models to analyze time-series data. This

tutorial explain two recent advances in time series analysis: (1) Gaussian Processes based kernel decomposition method

for time series data and (2) Deep Learning (Convolutional Neural Network) based method and its application on EEG

(electroencephalogram) analysis.

Schedule14:00-15:00 Unit1. Basics of Dynamic Models

Contents: Kalman Filter, Extended KF, Unscented Kalman Filter ad Particle Filter

15:00-15:15 Break

15:15-16:15 Unit2. Gaussian Processes based methods

Contents: Gaussian Processes, Automatic Statistician

16:15-16:30 Break

16:30-17:30 Unit3. Deep Learning based methods

Contents: Recurrent Convolutional Layers, EEG data analysis

Short BiographyEducation

May 2012: PhD, Computer Science, University of Illinois at Urbana-Champaign

August 2004: BS, Computer Engineering, Seoul National University

Positions

July 2013 –Present: Assistant Professor, School of Electrical and Computer Engineering, Ulsan

National Institute of Science and Technology

January 2013 – July 2013: Postdoc, Lawrence Berkeley National Laboratory

May 2012– January 2013: Postdoc, University of Illinois at Urbana-Champaign

Selected Research Publications

The Relational Automatic Statistician, International Conference on Machine Learning, 2016

Spatio-Temporal Pyramid Matching, Computer Vision and Image Understanding, 2013

Lifted Relational Kalman Filtering, International Joint Conference on Artificial Intelligence, 2011

Research Interests

Statistical Inference, Probabilistic Graphical Model, Dynamic Bayesian Models, Robot Task Planning

BigComp 2017


Tutorial-1

2nd International Workshop onBig Data Analytics for Healthcare and Well-being(BigData4Healthcare 2017)February 13, 2017 MAISON GLAD JEJU Hotel, Jeju Island, Korea

Program Co-ChairsHo-Jin Choi KAIST, KoreaLingyun Zhu Chongqing University of Technology, ChinaMin Song Yonsei University, Korea

Program Committee Ahsan Khandoker Khalifa University, UAEAlex Rudniy Fairleigh Dickinson, USAAmjad Gawanmeh Khalifa University, UAEChangseok Bae Daejeon University, KoreaChristopher C. Yang Drexel University, USAHani Saleh Khalifa University, UAE

Harish Bhaskar Khalifa University, UAEHyeoun-Ae Park Seoul National University, KoreaIllhoi Yoo University of Missouri, USAKulwinder Singh University of South Florida, USAKyuchang Kang ETRI, KoreaMeenakshi Mishra University of Kansas, USANan Xiang Chongqing University of Technology, ChinaYing Ding Indiana University, USAYong Wang Chongqing University of Technology, ChinaYong-Ik Yoon SookMyung Women's University, KoreaYoussef Iraqi Khalifa University, UAEYu-Chae Jung SookMyung Women's University, Korea

Keynote Speech08:30-09:45, February 13 (Monday), 2017Chair: Ho-Jin Choi, KAISTPatient Safety Events Prediction and Prevention using Clinical Big Data from Electronic Health RecordsSpeaker : Hyeoun-Ae Park (Seoul National University; President of International Medical Informatics Association)

Abstract:The study aims to develop and test a patient safety event prediction and prevention system integrated with electronic health

records (EHR) system. Specific objectives are to develop risk prediction models for patient safety events such as fall,

pressure ulcer and adverse drug events of chemotherapy using big data analytics and integrate the models into EHR, and

to develop an evidence-based CDSS providing healthcare providers with tailored recommendations to prevent and manage

these patient safety events. We used a database containing EHRs of the patients discharged from Jan 1, 2015 to May 31,

2016 in a tertiary teaching hospital in Korea. The case group consists of patients with a safety event and the control group

without any safety event during hospital stay. Features were extracted from 10 different data sources and normalized based

on criteria such as completeness, currency, structure and granularity of documentation. Significant features were selected

using data visualization techniques and univariate statistical analyses. For fall and pressure ulcer, Cox-hazard model was

used to predict the time of patient safety event and logistic regression to predict the risk of patient safety event. For side

effect of chemotherapy, neural network architectures were used. The performance of prediction models for measures

of binary and survival outcomes was assessed using a variety of different methods and metrics such as goodness of fit

statistics, area under the ROC curve, sensitivity and specificity, and true positives.

BigComp 2017


Workshop-1

Short BiographyHyeoun-Ae Park is the President of International Medical Informatics Association (IMIA). She is also

a professor of College of Nursing at Seoul National University (SNU) teaching Nursing and Medical

Informatics at SNU. Prior to joining SNU in 1992, she was a research fellow at Korean Institute of Health

and Social Affairs. Dr. Park received her BS in Nursing from SNU, her MS and PhD in Biostatistics and

Health Informatics from the University of Minnesota. She had been a visiting scholar at health informatics

department at the University of Minnesota, and SNOMED CT International at the College of American

Pathologists. Her areas of research are healthcare vocabulary and terminology, especially around ICNP and SNOMED CT. Her

recent research focuses on ontology as a framework for social big data, and data mining and big data analytics in healthcare. She

served as a vice president of the IMIA in charge of Working Groups and Special Interest Groups for over 6 years from 2007 to

2013. She also served as the chair of NI Special Interest Group of the IMIA from 2012 to 2015. She received 2004 Distinguished

Leadership Award for Internationals and School of Nursing 100 Distinguished Alumni Award in 2008 from University of

Minnesota. She is a Fellow of American Academy of Nursing. She received Lael Cranmer Gatewood Distinguished Lectureship

Award for her leadership in Health Informatics at the 50th anniversary of Health Informatics Program at University of Minnesota.

Program09:45-10:30, February 13 (Monday), 2017

Session WS1-1: Deep Learning Techniques for Medical Applications Chair : Jung-Woo Ha (NAVER Corp.)

[WS1-1-1] Clinical Opinions Generation from General Blood Test Results Using Deep Neural Network with Principle Component Analysis and RegularizationYouJin Kim, Han-Gyu Kim, Jonghwan Hyeon, and Ho-Jin Choi (KAIST)[WS1-1-2] Diagnosing Cervical Cell Images Using Pre-trained Convolutional Neural Network as Feature ExtractorJonghwan Hyeon, Ho-Jin Choi (KAIST), Byung Doo Lee, and Kap No Lee (Seegene Medical Foundation)

[WS1-1-3] Predicting High-Risk Prognosis from Diagnostic Histories of Adult Disease Patients via Deep Recurrent Neural NetworksJung-Woo Ha, Adrian Kim, Dongwon Kim (NAVER Corp.), Jeonghee Kim (NAVER LABS Corp.), Jeong-Whun Kim, Jin Joo Park, and Borim Ryu (Seoul National University Bundang Hospital)

10:30-11:00 Coffee Break

11:00-11:45, February 13 (Monday), 2017

Session WS1-2: Healthcare Robotics and Rehabilitation Chair: Han-Gyu Kim (KAIST)

[WS1-2-1] Rehabilitation Posture Correction Using Deep Neural NetworkSeung-Ho Han, Han-Gyu Kim, and Ho-Jin Choi (KAIST)

[WS1-2-2] Neural Network-based Autonomous Navigation for a Homecare Mobile RobotByungSoo Ko, Ho-Jin Choi, Chansol Hong, Jong-Hwan Kim, Oh Chul Kwon, and Chang D. Yoo (KAIST)

[WS1-2-3] Discriminative Restricted Boltzmann Machine for Emergency Detection on Healthcare RobotHan-Gyu Kim, Seung-Ho Han, and Ho-Jin Choi (KAIST)

11:45-12:30, February 13 (Monday), 2017

Session WS1-3: Big Data Techniques for Healthcare and Well-BeingChair: Young-Seob Jeong (SoonChunHyang University)

[WS1-3-1] Data Collection and Analysis of Smartphone Use and Sleep of Secondary School ChildrenHeejune Ahn, Giang T. Nguyen, Heyoung Lee (SeoulTech), Sun-Jin Jo, Eun-Jin Kim, and Hyeon-Woo Yim (Catholic University of Korea)

[WS1-3-2] Multi-source Food Hazard Event Extraction for Public HealthHwon Ihm, Kyoungrok Jang, Kangwook Lee, Gwan Jang, Min-Gwan Seo, Kyoungah Han, and Sung-Hyon Myaeng (KAIST)

[WS1-3-3] Context-based Healthy Lifestyle Recommendation for Enhancing User’s WellnessChae-Gyun Lim, Zae Myung Kim, and Ho-Jin Choi (KAIST)

BigComp 2017


Workshop-1

February 13, 2017 MAISON GLAD JEJU Hotel, Jeju Island, Korea

The 3rd Exobrain Workshop –Natural Language Question Answering for Human-MachineKnowledge Communication (Exobrain 2017)

Workshop Organizers Co-ChairsSang-Kyu Park ETRI, KoreaHo-Jin Choi KAIST, Korea

Program Committee Chang-Eun Lee ETRI, KoreaCheol-Young Ok Ulsan University, KoreaGahgene Gweon Seoul National University, KoreaHo-Jin Choi KAIST, Korea

Hyunki Kim ETRI, KoreaIl Hong Suh Hanyang University, KoreaJae-Sung Lee Chungnam National University, KoreaJongho Nang Sogang University, KoreaKey-Sun Choi KAIST, KoreaKyung-IL Lee Saltlux, KoreaSe-Young Park Kyungbook University, KoreaSung-Hyon Myaeng KAIST, KoreaYoung-guk Ha Konkuk University, KoreaYoung-Tack Park Soongsil University, Korea

Keynote Speech14:00 - 15:15, February 13 (Monday), 2017Chair: Ho-Jin Choi (KAIST)Korean Semantic Resources & Korean Semantic Processing SystemsCheol-Young Ock (Professor, School of IT Convergence, University of Ulsan, Korea)

Abstract:For semantic processing such as sentence understanding and QA, many sematic resources are needed. One of most

important semantic resources is a semantic network. Prof. Ock has been constructing a Korean WordNet, namely Ulsan

Word Map (UWordMap) since 2002. The Ulsan Word Map has semantic hierarchy(hypernym and hyponym) like WordNet,

but it has another important information, subcategorization of argument of predicate. In this speech Prof. Ock will

introduce a structure of the UWordMap and how to use for word sense disambiguation of Korean and for understanding a

Query in Exo Brain SW.

Word representation, an important area in natural language processing(NLP) used machine learning, is a method that

represents a word not by text but by distinguishable symbol. Existing word embedding employed a large number of corpora

to ensure that words that were position near by in text. However, corpus-base word embedding need a lot of corpora

because the frequency of word occurrence and increase the number of words. Another word embedding(Sense Vector) is

done using dictionary definitions and semantic relationship information(hypernyms and antonyms). Then similar sense’s

words have similar vector. Furthermore, it was possible to distinguish vectors of antonym words. In this speech Prof. Ock

will introduce the Sense Vector and its applications of sematic operations.

BigComp 2017


Workshop-2

ProgramWorkshop 2 – Exobrain 201715:15-16:00, February 13 (Monday), 2017

Invited Talk I Chair: Young-Seob Jeong (SoonChunHyang University)

Commercial Deployment of Spoken Dialog SystemsKyungduk Kim (NAVER Corp.)

16:00-16:30 Coffee Break

16:30-17:00, February 13 (Monday), 2017

Invited Talk II Chair: Kyo-Joong Oh (KAIST)

The Exobrain Project – Past, Present, and FutureHo-Jin Choi (KAIST)

17:00-18:00, February 13 (Monday), 2017

Session WS2-1: Language Technologies for Human-Machine Knowledge Communication Chair: Han-Gyu Kim (KAIST)

[WS2-1] Money Extraction and Normalization from TextsYoung-Seob Jeong (SoonChunHyang University), Joong-Hwi Shin, Hyoung-Gyu Lee, Ying-Xiu Quan, and Jun-Seok Kim (NAVER Corp.)

[WS2-2] A Model of Korean Sentence Similairty Measurement Using Sense-based Morpheme Embedding and RNN Sentence EncodingKyo-Joong Oh, Dongkeon Lee, Ho-Jin Choi (KAIST), and Jeong Hur (ETRI)

[WS2-3] An Adaptive Vocabulary Learning Application through Modeling Learner’s Linguistic Proficiency and InterestsZae Myung Kim, Suin Kim, Alice Oh, and Ho-Jin Choi (KAIST)

[WS2-4] The ChatBot Feels You - A Counseling Service Using Emotional Response GenerationDongkeon Lee, Kyo-Joong Oh, and Ho-Jin Choi (KAIST)

Short BiographyCheol-Young Ock is a professor of the school of IT convergence, University of Ulsan, Ulsan, Rep. of

Korea. He received his BS (1982), MS (1984), and PhD (1993) degrees in computer engineering from

the National University of Seoul, Seoul, Rep. of Korea. He has been a visiting professor at the Russia

Tomsk Institute (1994) and Glasgow University (1996). He has been the chairman of the sigHCLT

(2007~2008) in the KIISE, Rep. of Korea. He has been a visiting researcher at the National Institute

of Korean Language (2008). He received an honorary doctorate from the department of Information

and Computer Science, National University of Mongolia, Ulaanbaatar, Mongolia (2007). He received a government medal

as a meritorious engineer of Korean language development (2016). He has been constructing a Korean WordNet, namely

Ulsan Word Map (UWordMap) since 2002. His research interests include natural language processing (WSD), machine

learning, and text mining.

BigComp 2017


The International Workshop on Affective and Sentimental Computing (ASC 2017)

February 13, 2017 MAISON GLAD JEJU Hotel, Jeju Island, Korea

Workshop Co-ChairsHaoran Xie The Education University of Hong Kong, Hong KongTak-Lam Wong The Education University of Hong Kong, Hong KongFu Lee Wang Caritas Institute of Higher Education, Hong KongRaymond Wong University of New South Wales, AustraliaXiaohui Tao University of Southern Queensland, Australia

Programme Committee Zhaoqing Pan Nanjing University of Info Sci & Tech, ChinaRaymong Y. K. Lau City University of Hong Kong, Hong Kong Ke Li Birmingham University, UKXudong Mao City University of Hong Kong, Hong Kong

Xiangping Zhai Nanjing University of Aeronautics and Astronautics, ChinaWenji Ma Columbia University, USAYunhui Zhuang City University of Hong Kong, Hong KongDebby Dan Wang Caritas Institute of Higher Education, Hong KongXiaodong Li Hohai University, ChinaDi Zou The Hong Kong Polytechnic University, Hong KongZhiwen Yu South China University of Technology, ChinaYi Cai South China University of Technology, ChinaYanghui Rao Sun Yat-sen University, ChinaWenjuan Cui China Academy of Sciences, ChinaWei Chen Agricultural Information Institute of CAAS, ChinaTao Wang Southampton University, UKGualiang Chen TU Delft, Netherland

Program14:00-16:00, February 13 (Monday), 2017

Session WS3-1: Sentimental and Affective Computing ApplicationsChair: Tak-Lam Wong (EdUHK, Hong Kong)

[WS3-1-1] High-Level Online User Attribution Model Based on Human Polychronic Monochronic TendencyIkuesan Richard Adeyemi (University of Pretoria), Shukor Abd Razak (Universiti Teknologi Malaysia), Hein S. Venter (University of Pretoria), and Mazleena Salleh (Universiti Teknologi Malaysia)[WS3-1-2] Market Impact Analysis via Sentimental Transfer LearningXiaodong Li (Hohai University), Haoran Xie, Tak-Lam Wong (The Education University of Hong Kong) and Fu Lee Wang (Caritas Institute of Higher Education)[WS3-1-3] LanguageTool based University Rumor Detection on Sina WeiboYing Jiang, Yujie Liu (Beijing Normal University) and Yalin Yang (Zhuhai Weizhi Technology Co., Ltd.)[WS3-1-4] Personalized Microblog Recommendation Using Sentimental FeaturesWenjuan Cui, Yi Du, Zhihong Shen, Yuanchun Zhou and Jianhui Li (Chinese Academy of Sciences)

16:30-18:00, February 13 (Monday), 2017

Session WS3-2: Sentimental and Affective Computing ModelsChair: Tak-Lam Wong (EdUHK, Hong Kong)

[WS3-2-1] A New Samples Selecting Method based on K Nearest NeighborsKan Yang, Yi Cai, Zhiwei Cai, Xingwei Tan (South China University of Technology), Haoran Xie, Tak-Lam Wong and Wai Hong Chan (The Education University of Hong Kong)

[WS3-2-2] Sentimental Feature based Collaborative Filtering RecommendationJingjing Cao and Wenfeng Li (Wuhan University of Technology)

[WS3-2-3] An Effective Hybrid Model for Opinion Mining and Sentiment AnalysisKai Yang, Yi Cai, Dongping Huang, Jingnan Li, Zikai Zhou and Xue Lei (South China University of Technology)

BigComp 2017


Workshop-3

Conference Room Map

2F of main building

CRYSTAL HALL

JADEHALL

AMETHYST HALL

BigComp 2017


Venue

About MAISON GLAD JEJU Hotel:Hotel's website: https://ora.oraresort.com/eng/GRD/index.php

Maison Glad Jeju | Business Registration Number : 616-81-01370

Address : 80, Noyeon-ro, Jeju-si, Jeju-do, Korea | TEL. +82-64-747-4900 | E-mail. [email protected]

Jeju International Airport → MAISON GLAD JEJUHotel shuttle buses are operated when required by customers and may stop at parking lot no. C 10, 11 of airport for

boarding

Total distance : 3.5km | Time required : Within 10minut

BigComp 2017


Venue

AccommodationsThe Organizing Committee of BigComp2017 is pleased to negotiate with MAISON GLAD JEJU Hotel with discounted rates.

Please note that the special discounted rate can only be provided for reservation with the hotel reservation form and before the

deadline. The special rates and blocked rooms are for February 12-15, 2016 and on a first-come first-served basis. Once room blocks

at these hotels have been filled, we may not be able to secure further rooms with the hotels at the special rates quoted. Therefore,

early hotel reservation is highly recommended.

How to reserve? Please return the completed reservation form (doc-KR, doc-EN) to the hotel by February 1, 2017.

Our reservation agent will sent you confirmation letter after booking.

Every inquiry about hotel reservation should be sent to Mr. Seongmoon Heo (the hotel) below.

To : Mr. Seongmoon Heo

Fax Number : +82 2 2278 2109

Telephone Number : +82 2 2278 2100

E-mail : [email protected]

CANCELLATION/NO SHOW CHARGESIn the event that your travelers need to cancel a confirmed reservation at the Hotel, they must call the Hotel reservation

office prior to 7 days of arrival to cancel the reservation. Failure to call and cancel a guaranteed reservation prior to 7

days of arrival will result in a cancellation charge of that night’s room charge. The remaining nights of the stay will

automatically be cancelled.

BigComp 2017


Travel Information

Jeju World Natural HeritageUNESCO adopted the 'Convention Concerning the Protection of the World Cultural and Natural Heritage' at the General

Conference in 1972, and began to designate World Heritage Sites of outstanding universal value to be preserved for all humanity.

World Heritage Sites consist of three categories, cultural, natural, and mixed. As of 2011, a total of 911 sites from 151 countries

and are listed, 704 as cultural, 180 as natural, and 27 as mixed. Korea boasts nine World Cultural Heritage sites. They include

Seokguram and Bulguksa, Haeinsa Janggyeongpanjeon, Jongmyo, Suwon Hwaseong, Changdeokgung, dolmens in Gochang,

Hwasun and Ganghwa, the Gyeongju Historic Areas, Joseon Royal Tombs, and Hahoe and Yangdong Folk Village. Jeju Volcanic

Island and Lava Tubes is Korea's first and only properties to be designated as World Natural Heritage Sites (2007).

Jeju World Natural Heritage• Title : Jeju Volcanic Island and Lava Tubes

• Sites : Mt. Hallasan Natural Reserve,Seongsan Ilchulbong Tuff Cone, Geomunoreum Lava Tube System

• Area : 18,997 ha (Core Zone: 9,605 ha, Buffer Zone: 9,392 ha)

• Year of Inscription : 2007 (The first World Natural Heritage in Korea)

• Criteria : Outstanding scenic (vii) and geologic value (viii)

BigComp 2017


Travel Information

Mt. HallasanMt. Hallasan is the central peak of the gently sloping shield volcano of Jeju Island. It is the highest mountain in South Korea, reaching 1,950 m above the sea level. Mt. Hallasan boasts peculiar volcanic landscape, produced by the crater lake Baeknokdam at the summit, the precipitous rocky cliffs of the Yeongsilgiam, and about 40 volcanic cones. Baeknokdam crater is exceptional in that the western half of that area is formed by trachyte lava,

whereas the eastern half is made of basalt lava. It is assumed that the trachytic lava dome was produced first followed by the creation of the crater by basaltic volcanic activity. The mountain has been protected from human activity since 1970 and is renowned for its unique ecology and biodiversity in addition to volcanic geology and geomorphology.

Seongsan IlchulbongSeongsan Ilchulbong is an archetypal tuff cone formed by hydrovolcanic eruptions upon a shallow seabed about five thousand years ago. The 180 m-high tuff cone, dominating the eastern seaboard of Jeju Island, not only preserves its bowl-like crater but also provides excellent sea-cliff exposures of diverse internal structures. These features have great geologic value in that they provide a basis for interpreting the eruptive and depositional processes of hydromagmatic volcanoes worldwide in addition to the past volcanic activity of this tuff cone.The Seongsan Ilchulbong Tuff Cone is underlain by highly permeable, 120 m-thick lava. The lava contained abundant water when they were submerged in seawater 5,000 years ago. The ascending magma interacted with the groundwater within the lava, resulting in a tuff cone via powerful hydrovolcanic eruptions. The groundwater and seawater were continuously supplied to the volcanic conduit through the permeable lava, maintaining hydroexplosions until the end of the eruption of the tuff cone.Vertical and spiral-shaped pillars of rocks surround the climbing path of Seongsan Ilchulbong Tuff Cone.

BigComp 2017


Travel Information

During the hydrovolcanic eruption of this tuff cone, the pyroclastic (ash) deposits of the tuff cone piled up steeply near the crater rim. Rain on the deposits forced a flow down the slope, and the deposits were eroded over time by rain flushing thus creating a land that appears deeper than the ground itself.Unique rocks like these surrounding the climbing path did not just spring out overnight but have been formed by different erosion processes of unconsolidated tuff deposits by the rill-flow.

GeomunoreumThere are so many Oreums on Jeju Island that you can not climb them all even if you climb one every day for a year. Geomunoreum is considered the best among them. Its name of Geomunoreum (Black oreum) was derived from the fact that dense forest in its crater shows weird block color, and also means a holy mountain. Its summit reaches 456m above sea level and measures 4.5km in circumference. At the summit lies a deep crater, and the crater is shaped like a horse-shoe with a large opening in the northeastern rim.Gotjawal, ancient forests, grows in the interior of Geomunoreum crater. In these forests, nature has carved deep crevices called Sumgol into the rocks. The crevices act as natural waterways that channel rainwater into the ground. As it penetrates layers of scoria and basalt, the water is naturally cleansed of impurities and fortified with minerals.To see Geomunoreum, visitors must sign up for a guided tour at the Visitor Center.

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Geomunoreum Lava Tube SystemThere are about 360 oreums (volcanic cones) scattered throughout Jeju island. Of those, the lava tube system of Geomunoreum alone was designated as a UNESCO World Natural Heritage under the title of Geomunoreum Lava Tube System. Why was it selected among all the others? The answer lies in the mystical beauty of Geomunoreum's Lava Tube System created by molten lava streams that flowed north-northeast towards the sea 14km away.Lava seeped upward from Geomu noreum, of Seonheulri to the east of Mt. Hallasan, and flowed on the ground to create large-scale lava tube systems including Bengdwigul Lava Tube, Manjanggul Lava Tube, Gimnyeonggul Lava Tube, Yongcheondoggul Lava Tube, and Dangcheomuldonggul Lava Tube.

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Date post:	20-Apr-2018
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