The 1st International Conference on Big Data Analytics and Practices (IBDAP 2020)

Bangkok, ThailandSeptember 25-26, 2020

Big data and smart computing are emerging research elds that have recently drawn much attention from computer science and informa-tion technology as well as from social sciences and other disciplines.

Big data analytics and practices seeks to include work from a wide range of technologies and domains – including (but not limited to) smart systems (e.g. in cities, automobiles, farms, etc.), cyber-physical systems, Internet of Things applications, healthcare, and social networks and media. Technological aspects of the event include service-oriented technologies, machine learning, predictive analytics, data modelling, system architectures, data mining, and simulation.

TThe goal of the International Conference on Big Data Analytics and Practices (IBDAP 2020), initiated by Government Big Data Institute (GBDi), is to provide an international forum for exchanging ideas and information on current studies, challenges, research results, system develop-ments, and practical experiences in these emerging elds.

Topics of interest (include but not limited to)• Big Data Analytics and Mining• Algorithms and systems for big data search and analytics• Machine learning for big data• Predictive analytics and simulation• Big data visualization and interactive data exploration• Big data mining applications• • Knowledge extraction, discovery, analysis, and presentation• Big Data Platforms and Technologies• Big data processing frameworks and technologies• Big data services and application development methods and tools• Big data quality evaluation and assurance technologies

• Big data system reliability, dependability, and availability• Open-source development and technology for big data• Big Data as a Service (BDaaS) platform and technologies• Big Data and Machine Learning Applications and Experiences• Innovative big data applications and services• Big data analytics in the public sector• La• Large-scale recommendation systems• Link and graph mining, social network mining• Mobility and big data• Stream data mining• Real-world and large-scale practices of big data

Paper SubmissionPapers must be written in English. All papers must be prepared in the IEEE double column proceedings format. Please see the following link for details: http://www.ieee.org/conferences_events/confer-ences/publishing/templates.html Papers can be either regular or short papers, where regular papers are limited to 8 pages and short ones to 4 pages. Accepted papers will be submitted for inclusion into IEEE Xplore. For detailed submission instructions visit the conference wwebsite at https://www.depa.or.th/th/gbdi-ibdap

Organizing CommitteeGovernment Big Data Institute (GBDi), Digital Economy Promotion Agency, Ministry of Digital Economy and Society

Oversea Advisory BoardDr. Simon See (Singapore), Chief Scientic Computing Scientist and Professor, Shanghai Jiao Tong UniversityDr. Lerwen Liu (Singapore), Department of Engineering and Technology Management, National University of SingaporeProf. Dr. Kaoru Sezaki (Japan), Director of Center for Spatial Information Science, University of TokyoMr. Pierre Vande Vyvre (Switzerland), Project Leader of the ALICE Data Acquisition Project - Group Leader, CERN