Francesco BonchiResearch Leader – Algorithmic Data Analytics Lab

OverviewResearcher with a double profile – academic and industrial – active in the international Data Mining research communitysince 1998. I have published more than 150 scientific papers, many of which in the most prestigious venues of the DataMining (e.g., KDD, ICDM), Web (e.g., WWW, SIGIR, WSDM), and Databases (e.g., VLDB, SIGMOD, ICDE) researchareas, contributing to the state of the art both on the theoretical and the applicative sides. I have a wide experience in severalreal-world academic, government and industrial Data Mining projects in various domains, such as: fiscal fraud detection,web mining, social networks analysis, biomedical and genetical data mining in support of solid organ transplantation, datamining for bioinformatics, geographic knowledge discovery and mobility data analysis, promotions analysis, planning andchurn prediction in retail domain. I’ve also filed 16 USA patents, and received the 2013 Yahoo Master Inventor Award.Finally, I also have several years experience in the management of an industrial research team.On the academic service side, I’ve been organizing the main conference in Europe in the area of Machine Learning and DataMining (ECML PKDD 2010), and I will be PC chair of the prestigious IEEE ICDM conference in 2016 in Barcelona.I am member of the ECML PKDD Steering Committee, Associate Editor of the newly created IEEE Transactions on BigData (TBD), of the IEEE Transactions on Knowledge and Data Engineering (TKDE), the ACM Transactions on IntelligentSystems and Technology (TIST), Knowledge and Information Systems (KAIS), and member of the Editorial Board of DataMining and Knowledge Discovery (DMKD). My recent research interests include scalable mining methods for big data,mining and querying graphs, query-logs, social networks, and social media, as well as the privacy issues related to miningthese kinds of sensible data.

Keywords Data mining, machine learning, algorithms, big data, web mining, query log analysis, social networks,social media, graph mining, privacy-preserving data mining, anonymity.

H-index 35 (as of September 2015, according to Google Scholar).

Industrial experienceI’ve been working for eight years at Yahoo Labs in Barcelona, first as Research Scientist, then as Senior Research Scientist,and finally as Director of Research and Head of the awesome Web Mining team. I’ve also been trained to peoplemanagement by Yahoo over a 3-year period.At Yahoo Labs I was developing and applying novel methods to analyze web-scale data, obtaining actionable knowledgeabout people and content on the web, and using this knowledge to efficiently support products and innovative applicationsimpacting millions of users worldwide. In my team we were also developing big scale Machine Learning, Data Mining, andInformation Retrieval libraries and platforms for internal use, as well as externally visible data analytics and visualizationmodules.

Current position and rolesSince 2015 Research Leader, Algorithmic Data Analytics Labs at the ISI Foundation, Turin, Italy.Since 2015 Part-time Scientific Director at Eurecat (Technological Center of Catalonia), Barcelona, Spain.Since 2013 Associate Editor of IEEE Transactions on Knowledge and Data Engineering (TKDE).Since 2013 Associate Editor of ACM Transactions on Intelligent Systems and Technology (TIST).Since 2014 Associate Editor of Knowledge and Information Systems: An International Journal (KAIS).Since 2015 Associate Editor of IEEE Transactions on Big Data (TBD).Since 2015 Member of the Editorial Board of Data Mining and Knowledge Discovery (DMKD).Since 2010 Member of the ECML PKDD Steering Committee.

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Education and past positions2014 – 2015 Director of Research at Yahoo Labs.2014 – 2015 Deputy head of Yahoo Labs Barcelona.2012 – 2015 Head of the Web Mining research group at Yahoo Labs.2010 – 2014 Senior Research Scientist at Yahoo Labs.2010 – 2013 Organizer of the “Yahoo Labs Barcelona Seminars” series.2008 – 2010 Research Scientist at Yahoo Labs.2006 – 2007 Researcher (“Ricercatore art.23”) at ISTI - CNR, Pisa, Italy.2002 – 2006 PostDoc (“Assegno di ricerca”) at ISTI - CNR, Pisa, Italy.1999 – 2003 Ph.D. in Computer Science at University of Pisa, Italy.

1998 Research contract on the project “Lotta all’evasione fiscale” (Fiscal Fraud Detection) at CNUCE - CNR,Pisa, Italy, funded by the Italian Ministry of Finance.

1992–1997 Laurea magnum cum laude in Computer Science at University of Pisa, Italy.

Awards2013 Yahoo Master Inventor award.2009 best paper award at the 2009 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2009).2009 best student paper award and best student paper runner-up at the 18th ACM Conference on Information

and Knowledge Management (CIKM 2009).2009 best student paper runner-up at the 18th ACM Conference on Information and Knowledge Management

(CIKM 2009).2003 student travel awards, at The Third IEEE International Conference on Data Mining (ICDM 2003).1999 student travel award, at The ACM SIGKDD international conference on Knowledge discovery and data

mining (KDD 1999).

Scientific serviceBesides serving in the editorial board of 5 journals (IEEE Transactions on Knowledge and Data Engineering, ACM Transactionson Intelligent Systems and Technology, IEEE Transactions on Big Data, Knowledge and Information Systems, Data Miningand Knowledge Discovery) I regularly serve as Area Chair (or Senior PC member) in the Program Committee of the mainconferences in the area of Data Mining and Databases. The (almost) complete list of my service activities can be found at:http://francescobonchi.com/service.html.

In the following I report a selection of the main service activities.

ICDM 2016 PC chair of IEEE International conference on Data Mining, December 2016, Barcelona, Spain.DSAA 2015 Keynote Speaker at The 2015 IEEE International Conference on Data Science and Advanced Analytics

(IEEE DSAA 2015), October 2015, Paris, France.BigMine 2015 Keynote Speaker at Big Data Mining, 4th International Workshop on Big Data, Streams and Hetero-

geneous Source Mining: Algorithms, Systems, Programming Models and Applications (BigMine 2015),satellite event of KDD 2015, August 2015, Sydney, Australia.

iSocial Invited Speaker at iSocial Workshop “Online Social Networks: Data Management and Privacy/Security",April 2015, Crete, Greece.

ECML PKDD2015

Demonstration chair of The European Conference on Machine Learning and Principles and Practice ofKnowledge Discovery in Databases, September 2015, Porto, Portugal.

KDD 2014 Tutorial instructor at The 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD 2014), August 2014, New York City, USA.

ECML PKDD2014

Sponsorhip chair of The European Conference on Machine Learning and Principles and Practice ofKnowledge Discovery in Databases, September 2014, Nancy, France.

WSDM 2014 Invited speaker at the Workhop on Diffusion Networks and Cascade Analytics, February 2014, New YorkCity, USA.

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ICDM 2013 Keynote speaker at The Third IEEE ICDM Workshop on Data Mining in Networks (DaMNet 2013),December 2013, Dallas, Texas.

BIG DATAday

Invited speaker at Journée de rencontre BIG DATA, September 2013, Toulouse, France.

ECML PKDD2013

Keynote speaker at The 4th International Workshop on Mining Ubiquitous and Social Environments(MUSE), September 2013, Prague, Czech Republic.

ECCS 2013 Invited speaker at Workshop “Complexity in Online Social Networks and Big Data”, September 2013,Barcelona, Spain.

ICDM 2012 Invited speaker at the IEEE ICDM 2012 PhD Student Forum, December 2012, Brussels, Belgium.ICDM 2012 Demo chair of The 2012 IEEE International Conference on Data Mining, December 2012, Brussels,

Belgium.MIA 2012 Invited speaker at Institute for Mathematics and its Applications (IMA) Annual Program Year Workshop

- “User-Centered Modeling”, May 2012, University of Minnesota, USA.WI-IAT 2011 Keynote speaker at The 2011 IEEE/WIC/ACM International Joint Conference on Web Intelligence and

Intelligent Agent Technology, August 2011, Lyon, France.SWM 2011 Program chair of The International Workshop on Social Web Mining , July 2011, Barcelona, Spain.

ECML PKDD2010

Program chair and main organizer of The 21st European Conference on Machine Learning and The14th European Conference on Principles and Practice of Knowledge Discovery in Databases, September2010, Barcelona, Spain.

ECML PKDD2009

Area chair of The 20th European Conference on Machine Learning and The 13th European Conferenceon Principles and Practice of Knowledge Discovery in Databases, September 2009, Bled, Slovenia.

WSDM 2009 Promotion chair of The Second ACM International Conference on Web Search and Data Mining, February2009, Barcelona, Spain.

ICDM 2008 Panelist (title:“Social Networks and Data Mining: Where’s the Beef?”) at The Eighth IEEE InternationalConference on Data Mining, December 2008, Pisa, Italy.

ICDM 2008 Workshop chair of The Eighth IEEE International Conference on Data Mining, December 2008, Pisa,Italy.

PinKDD 2008 Program chair of The Second ACM SIGKDD International Workshop on Privacy, Security, and Trustin KDD(PinKDD 2008), workshop held in conjunction with The Fourteenth ACM SIGKDD InternationalConference on Knowledge Discovery and Data Mining, Las Vegas, Nevada, August 2008.

PinKDD 2007 Program chair of The First ACM SIGKDD International Workshop on Privacy, Security, and Trust inKDD(PinKDD 2007), workshop held in conjunction with The Thirteenth ACM SIGKDD InternationalConference on Knowledge Discovery and Data Mining, San Jose, California, August 2007.

PADM 2006 Program chair of the IEEE International Workshop on Privacy Aspects of Data Mining (PADM 2006),workshop held in conjunction with The Sixth IEEE International Conference on Data Mining, December2006, Hong Kong.

PAKDD 2006 member of the “Tutorial Selection Committee” for The 10th Pacific-Asia Conference on KnowledgeDiscovery and Data Mining, April 2006, Singapore.

KDID 2005 Program chair of The Fourth International Workshop on Knowledge Discovery in Inductive Databases(KDID 2005), workshop held in conjunction with The 16th European Conference on Machine Learning(ECML) and the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases(PKDD), October 2005, Porto, Portugal.

ECML PKDD2004

Member of the organizing committee of The 15th European Conference on Machine Learning (ECML)and the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD),September 2004, Pisa, Italy.

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TeachingJan-Mar 2016 Teaching the “Web Intelligence” course at the Master in Intelligent Interactive Systems (MIIS) University

Pompeu Fabra of Barcelona.Jan-Mar 2015 Teaching the “Web Intelligence” course at the Master in Intelligent Interactive Systems (MIIS) University

Pompeu Fabra of Barcelona.April 2014 Lecturer at the Complex Networks Thematic School, Les Houches, (France).Sept. 2013 Lecturer at The EDBT Summer School 2013, Aussois (France).March 2008 Lecturer at the Second European Summer School on Knowledge Discovery for Ubiquitous Computing,

Porto (Portugal).Sept. 2006 Lecturer at the First European Summer School on Knowledge Discovery for Ubiquitous Computing, Dort-

mund (Germany).2006 Teaching “Database Laboratory’ for the IFTS “Tecnico Superiore per Rilievi e Strumentazione di Telerile-

vamento (GPS-GIS)” course, (Regione Toscana).2006 Teaching “Databases” for the IFTS “Tecnico Superiore per Rilievi e Strumentazione di Telerilevamento

(GPS-GIS)” course, (Regione Toscana).2006 Teaching “Data Mining” for the IFTS "Comunicazione e Multimedia" course, (Regione Toscana).

2002-03 Teaching for the Master “Datamining Expert”, Polo Scientifico e Tecnologico dell’Area Livornese, Livorno,Italy.

2002 Teaching for the Master “Data Mining in Enterprise Databases” ISTI-CNR, Pisa, Italy.1999 Teaching for the Master “Data Mining in Enterprise Databases” University of Pisa, Italy.

Ph.D. Supervising2016 Yasir Mehmood, “Modeling the Roles of Individuals and Groups in the Dynamics of Information Propaga-

tion", April 2016, Pompeu Fabra University, Barcelona, Spain.2009 Michele Berlingerio, “Graph and Network Data: Mining the Temporal Dimension”, December 2009, IMT,

Lucca, Italy.

Students that I’m currently advising: Cigdem Aslay, Bora Eizedel, and Ioanna Tsalouchidou all from Pompeu Fabra University,Barcelona, Spain. I’ve also been supervisor for several undergrad thesis in Italy (2003-2007) and host for several internshipsat Yahoo Labs (2008-2015).

Ph.D. Committees2015 Eduardo Graell, “Biased Behavior in Web Activities", May 2015, Pompeu Fabra University, Barcelona,

Spain.2013 Diego Sáez Trumper,“Finding Relevant People in Online Social Networks", December 2013, Pompeu Fabra

University, Barcelona, Spain.2013 Ida Mele,“Web Usage Mining and its Applications to Web Search and Recommendation", December 2013,

La Sapienza University of Rome, Italy.2013 Nhat Hai Phan, “Mining Object Movement Patterns from Trajectory Data", October 2013, LIRMM,

Montpellier, France.2012 Thi Kim Ngan Nguyen, "Generalizing Association Rules in N-ary Relations: Application to Dynamic Graph

Analysis", October 2012, INSA, Lyon, France.2011 David Laniado, “Social production of knowledge by online communities”, November 2011, Politecnico di

Milano, Italy.2010 Loic Cerf, “Constrained-based mining of closed patterns in noisy n-ary relations”, July 2010, INSA, Lyon,

France.2010 Fabricio Benevenuto, “An Empirical Analysis of Interactions in Online Social Networks”, March 2010,

Federal University of Minas Gerais, Brazil.2009 Barbara Poblete, “Query-Based Data Mining for the Web”, October 2009, Pompeu Fabra University,

Barcelona, Spain.

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Participation in European and national research projects2015–2017 TYPES: Towards transparencY and Privacy in the onlinE advertising businesS (Call: H2020-DS-2014-1).

Just funded. To start in May 2015.2014–2016 MULTISENSOR: Mining and Understanding of multilinguaL contenT for Intelligent Sentiment Enriched

coNtext and Social Oriented inteRpretation (FET-Open FP7 STREP project). The goal is to enable users(e.g. journalists, entrepreneurs) to attain a comprehensive and exact understanding of topics they areengaged in, not only from their own but from multiple viewpoints. www.multisensorproject.eu/

2012–2014 LiMoSINe: Linguistically Motivated Semantic Aggregation Engines (FET-Open FP7 STREP project). Theproject is about enabling new kinds of language-based search technology. www.limosine-project.eu/

2011–2013 ARCOMEM: ARchive COmunities MEMories (Collaborative Project (ICT-2009-270239) FP7-ICT-2009-6Challenge 4 – “Digital Libraries and Conten”). The project is about memory institutions like archives,museums, and libraries in the age of the Social Web. www.arcomem.eu/

2010–2012 Social Media ( CENIT [CEN-20101037], co-funded by “Centro para el Desarrollo Tecnológico Industrial(CDTI)” of the Spanish Ministry of Science and Innovation). Development of data analysis techniques forSocial Media. www.cenitsocialmedia.es/

2010–2013 FOC - Forecasting Financial Crises (FET-Open FP7 STREP project). Understanding systemic riskand global financial instabilities by means of a novel, integrated and network-oriented approach. www.focproject.net/

2007 OASIS (project founded by Belgian Science Policy) data mining for fiscal fraud detection. Invited asinternational expert.

2005 –2007 La Miniera della Salute (The Health Mine), founded by Fondazione Cassa di Risparmio di Pisa.2005 –2007 GeoPKDD: Geographic Privacy-aware Knowledge Discovery and Delivery, project number 01495,

within the Future Emerging Technologies program of FP6-IST.2005 –2006 GeoPKDD.it: Geographic Privacy-aware Knowledge Discovery and Delivery , founded by Italian

Ministry of Research and University.2003 –2005 P3D: Privacy Preserving Pattern Discovery, a "Curiosity Driven and Independent Research" ISTI

Internal Project [Coordinator]. Pisa, Italy2002 –2004 WebDigger, founded by Fondazione Cassa di Risparmio di Pisa, Italy.2002 –2005 ECD: Enhanced Content Delivery, founded by Italian Ministry of Research and University.2000 –2001 MineFaST: Intelligent Web Caching based on Data Mining techniques, founded by FST Ricerca1999 –2001 ToMAKE: Tools and Methodologies for Data Analysis and Knowledge Extraction, founded by

Italian Ministry of Research and University.1999 –2001 DeduGIS: Deductive constraint databases for intelligent Geographical Information Systems, Esprit

Working Group 28115.1998 Lotta all’evasione fiscale, (Fiscal Fraud Detection) founded by Italian Ministry of Finance.

PatentsOct 2014 “A taxonomy-based system for discovering and annotating geofences from geo-refenced data” [filed, N/A]Aug 2014 “A method for recommending users to follow in online social networks with explanations” [filed, N/A]Nov 2013 “Identifying communities based on information propagation data” [filed, N/A]Nov 2013 “System and method for network-oblivious community detection” [filed, N/A]Dec 2011 “Method or system to identify social influence” [filed, N/A]Dec 2010 “System for ranking memes” [US 2012/0150957 A1]Nov 2009 “Research mission identification” [US 2011/0295776 A1]Sep 2009 “Network graph evolution rule generation” [US 2011/0078189 A1]Aug 2009 “Taxonomy-driven lumping for sequence mining” [US 2011/0029475 A1]Dec 2008 “Segmentation of interleaved query missions into query chains” [US 2010/0161643 A1]Dec 2008 “Automated bookmarking” [US 2010/0169756 A1]Nov 2008 “Diverse query recommendations using weighted set cover methodology” [US 2010/0114928 A1]Nov 2008 “Diverse query recommendations using clustering-based methodology” [US 2010/0114929 A1]Oct 2008 “Discovering Leaders in a Social Network” [US 2010/0088130 A1]

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PublicationsBooks and edited volumes

1. F. Bonchi, W. Buntine, R. Gavalda, S. Guo (Eds.) Special Issue on Social Web Mining , ACM Transactions on IntelligentSystems and Technology (TIST), Vol. 5, No. 1, ACM 2013.

2. F. Bonchi and E. Ferrari (Eds.) Privacy-aware Knowledge Discovery: Novel Applications and New Techniques. DataMining and Knowledge Discovery Book Series, Chapman & Hall/CRC, 2010.

3. J.L. Balcázar, F. Bonchi, A. Gionis, M. Sebag (Eds.) Special Issue: Selected Papers from ECML PKDD 2010 , MachineLearning (ML), Volume 81, Number 1 Springer 2010.

4. J.L. Balcázar, F. Bonchi, A. Gionis, M. Sebag (Eds.) Special Issue: Selected Papers from ECML PKDD 2010 , DataMining and Knowledge Discovery Journal (DMKD), Volume 21, Number 2 Springer 2010.

5. J.L. Balcázar, F. Bonchi, A. Gionis, M. Sebag (Eds.) Machine Learning and Knowledge Discovery in Databases, EuropeanConference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part I, Lecture Notes in ComputerScience (LNCS), Volume 6321, Springer 2010.

6. J.L. Balcázar, F. Bonchi, A. Gionis, M. Sebag (Eds.) Machine Learning and Knowledge Discovery in Databases, EuropeanConference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part II, Lecture Notes inComputer Science (LNCS), Volume 6322, Springer 2010.

7. J.L. Balcázar, F. Bonchi, A. Gionis, M. Sebag (Eds.) Machine Learning and Knowledge Discovery in Databases, EuropeanConference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part III, Lecture Notes inComputer Science (LNCS), Volume 6323, Springer 2010.

8. F. Bonchi, B. Berendt, F. Giannotti, D. Gunopulos, F. Turini, C. Zaniolo, N. Ramakrishnan, and X. Wu (Eds.) ICDMWorkshops 2008 - Eight IEEE International Conference on Data Mining - Workshops. IEEE, 2008, ISBN 978-0-7695-3503-6.

9. F. Bonchi, E. Ferrari, W. Jiang and B. Malin and (Eds.) Privacy, Security, and Trust in KDD - Second ACM SIGKDDInternational Workshop, PinKDD 2008, Las Vegas, NV, USA, August 24, 2008, Revised, Selected Papers. Lecture Notesin Computer Science (LNCS), Volume 5456, Springer, 2009.

10. F. Bonchi, E. Ferrari, B. Malin and Y. Saygin (Eds.) PinKDD 2007, Privacy, Security, and Trust in KDD, Proceedings ofthe First International Workshop on Privacy, Security, and Trust in KDD, San Jose, CA, USA, August 12, 2007, RevisedSelected and Invited Papers. Lecture Notes in Computer Science (LNCS), Volume 4890, Springer, 2008.

11. F. Bonchi, B. Malin and Y. Saygin (Eds.) DKE Special Issue on Privacy Aspects of Data Mining. Special Issue on theData and Knowledge Engineering Journal, Elsevier, 65(1), April 2008.

12. F. Bonchi and J.F. Boulicaut (Eds.). KDID 2005, Knowledge Discovery in Inductive Databases, Proceedings of theFourth International Workshop on Knowledge Discovery in Inductive Databases, Porto, Portugal, October 3, 2005,Revised Selected and Invited Papers. Lecture Notes in Computer Science (LNCS), Volume 3933, Springer, 2006.

Journals13. N. Kourtellis, G. De Francisci Morales, F. Bonchi Scalable Online Betweenness Centrality in Evolving Graphs. IEEE

Transactions on Knowledge and Data Engineering (TKDE), accepted for publication, 2015.14. F. Bonchi, A. Gionis, F. Gullo, C. E. Tsourakakis, A. Ukkonen Chromatic Correlation Clustering. ACM Transactions on

Knowledge Discovery from Data (TKDD), accepted for publication, 2015.

15. C. Aslay, W. Lu, F. Bonchi, A. Goyal, L. V. S. Lakshmanan Viral Marketing Meets Social Advertising: Ad Allocationwith Minimum Regret. PVLDB, 8(7): 822-833 (2015).

16. F. Bonchi, A. Gionis, T. Tassa. Identity Obfuscation in Graphs Through the Information Theoretic Lens. InformationSciences, Elsevier, 275: 232-256 (2014).

17. S. Amer-Yahia, F. Bonchi, C. Castillo, E. Feuerstein, I. Méndez-Díaz, P. Zabala. Composite Retrieval of Diverse andComplementary Bundles. IEEE Transactions on Knowledge and Data Engineering (TKDE), 26(11): 2662-2675 (2014).

18. S. Pool, F. Bonchi, M. van Leeuwen. Description-driven Community Detection. ACM Transactions on Intelligent Systemsand Technology (TIST), ACM 5(2): 28 (2014).

19. F. Bonchi, W. Buntine, R. Gavalda, S. Guo. Introduction to the special issue on social web mining. ACM Transactionson Intelligent Systems and Technology (TIST), ACM 5(1): 5 (2013).

20. F. Bonchi, G. De Francisci Morales, A. Gionis, A. Ukkonen. Activity Preserving Graph Simplification. Data Mining andKnowledge Discovery Journal (DAMI), Springer 27(3): 321-343 (2013).

21. N. Barbieri, F. Bonchi, G. Manco. Topic-aware Social Influence Propagation. Knowledge and Information Systems - AnInternational Journal (KAIS), Springer, 37(3): 555-584 (2013).

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22. F. Bonchi, A. Gionis, A. Ukkonen. Overlapping Correlation Clustering. Knowledge and Information Systems - AnInternational Journal (KAIS), Springer, 35(1): 1-32 (2013).

23. M. Tsytsarau, F. Bonchi, A. Gionis, T. Palpanas. Diverse Dimension Decomposition for Itemset Spaces. Knowledge andInformation Systems - An International Journal (KAIS), Springer, 33(2): 447-473 (2012).

24. P. Boldi, F. Bonchi, A. Gionis, T. Tassa Injecting Uncertainty in Graphs for Identity Obfuscation. PVLDB, 5(11):1376-1387, July 2012.

25. G. Melli, X. Wu, P. Beinat, F. Bonchi, L. Cao, R. Duan, C. Faloutsos, R. Ghani, B. Kitts, B. Goethals, G. McLachlan,J. Pei, A. Srivastava, O. Zaiane Top-10 Data Mining Case Studies. International Journal of Information Technology &Decision Making, World Scientific Publishing Company, Vol. 11, No. 2 (2012) 389-400.

26. A. Goyal, F. Bonchi, L. V. S. Lakshmanan, Suresh Venkatasubramanian. On Minimizing Budget and Time in InfluencePropagation over Social Networks. Social Network Analysis and Mining, Springer, 3(2): 179-192 (2013).

27. F. Bonchi. Influence Propagation in Social Networks: A Data Mining Perspective. IEEE Intelligent Informatics BulletinIEEE, Vol.12 No.1: 8-16, December 2011.

28. A. Goyal, F. Bonchi, L. V. S. Lakshmanan. A Data-Based Approach to Social Influence Maximization. PVLDB,5(1):73-84, October 2011.

29. D. Ienco, F. Bonchi, C.Castillo. The Meme Ranking Problem: Maximizing Microblogging Virality. Journal of IntelligentInformation Systems, Springer, 40(2): 211-239 (2013).

30. F. Bonchi, P. Esfandiar, D. F. Gleich, C. Greif, L. V. S. Lakshmanan. Fast matrix computations for pair-wise andcolumn-wise commute times and Katz scores. Internet Matemathics, Taylor & Francis, 8(1-2): 73-112 (2012).

31. F. Bonchi, L. V.S. Lakshmanan, W. H. Wang. Trajectory Anonymity in Publishing Personal Mobility Data. SIGKDDExplorations, ACM, Volume 13, Issue 1, July 2011.

32. F. Bonchi, C. Castillo, A. Gionis, A. Jaimes. Social Network Analysis and Mining for Business Applications. ACMTransactions on Intelligent Systems and Technology (TIST) ACM 2(3), April 2011.

33. P. Boldi, F. Bonchi, C. Castillo, S. Vigna. Viscous democracy for social networks. Communications of the ACM (CACM),Volume 54 Issue 6, June 2011.

34. P. Boldi, F. Bonchi, C. Castillo, S. Vigna. Query Reformulation Mining: Models, Patterns and Applications. InformationRetrieval (IR) Springer 14(3):257-289, June 2011

35. O. Abul, F. Bonchi, F. Giannotti. Hiding Sequential and Spatio-temporal Patterns. IEEE Transactions on Knowledgeand Data Engineering (TKDE) IEEE 22(12): 1709-1723, December 2010.

36. O. Abul, F. Bonchi, M. Nanni. Anonymization of Moving Objects Databases by Clustering and Perturbation. InformationSystems, Elsevier 35 (2010), pp. 884-910.

37. M. Potamias, F. Bonchi, G. Kollios, A. Gionis. k-Nearest Neighbors in Uncertain Graphs. PVLDB, 3(1): 997-1008,September 2010.

38. J.L. Balcázar, F. Bonchi, A. Gionis, M. Sebag. Special issue for ECML PKDD 2010: Guest editors’ introduction. MachineLearning (ML), Springer 81(1):1-4, 2010.

39. J.L. Balcázar, F. Bonchi, A. Gionis, M. Sebag. Guest editors’ introduction: special issue of selected papers from ECMLPKDD 2010. Data Mining and Knowledge Discovery Journal (DMKD), Springer 21(2):221-223, 2010.

40. B. Bringmann, M. Berlingerio, F. Bonchi, A. Gionis. Learning and Predicting the Evolution of Social Networks. IEEEIntelligent Systems, 25(4):26-35 July/August 2010.

41. F. Bonchi, C. Castillo, D. Donato and A. Gionis. Taxonomy-driven lumping for sequence mining. Data Mining andKnowledge Discovery Journal (DMKD), Springer, 19(2):227-244, October 2009.

42. F. Bonchi, F. Giannotti, C. Lucchese, S. Orlando, R. Perego and R. Trasarti. A Constraint-based Querying System forExploratory Pattern Discovery. Information Systems, Elsevier, 34 (2009), pp. 3-27.

43. F. Bonchi, E. Ferrari, W. Jiang and B. Malin. PinKDD’08: Privacy, Security, and Trust in KDD PostWorkshop Report.SIGKDD Explorations, ACM, 10(2), December 2008.

44. M. Atzori, F. Bonchi, F. Giannotti and D. Pedreschi. Anonymity Preserving Pattern Discovery. The VLDB Journal,Springer, 17(4):703-727, July 2008.

45. F. Bonchi, E. Ferrari, B. Malin and Y. Saygin. PinKDD’07: Privacy, Security, and Trust in KDD PostWorkshop Report.SIGKDD Explorations, ACM, 9(2):93-95, December 2007.

46. F. Bonchi, B. Malin and Y. Saygin. Recent Advances in Preserving Privacy when Mining Data. Data and KnowledgeEngineering, Elsevier, 65(1):1-4, April 2008.

47. S. Bistarelli and F. Bonchi. Soft Constraint Based Pattern Mining. Data and Knowledge Engineering, Elsevier, 62(1):118-137 July 2007.

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48. F. Bonchi and C. Lucchese. Extending the State-of-the-Art of Constraint-based Pattern Discovery. Data and KnowledgeEngineering, Elsevier, 60(2):377-399 February 2007.

49. A. Tonazzini, F. Bonchi, S. Gnesi, E. Kuruoglu and S. Bottini. Analysis and modelling of genomic data. Ercim News,vol. 64 (2006), pp. 59-60.

50. F. Bonchi and C. Lucchese. On Condensed Representations of Constrained Frequent Patterns. Knowledge and InformationSystems - An International Journal (KAIS), Springer-Verlag, 9(2), February 2006.

51. M. Atzori, F. Bonchi, F. Giannotti and D. Pedreschi. Anonymity and Data Mining. International Journal of ComputerSystem Science & Engineering (IJCSSE), CRL Publishing, 20(5):369–376, September 2005.

52. F. Bonchi, F. Giannotti, A. Mazzanti and D. Pedreschi. ExAnte: A preprocessing Method for Frequent-Pattern Mining.IEEE Intelligent Systems, 20(3):25–31 May–June 2005.

53. F. Bonchi, F. Giannotti, A. Mazzanti and D. Pedreschi. Efficient Breadth-first Mining of Frequent Pattern with MonotoneConstraints. Knowledge and Information Systems - An International Journal (KAIS), Springer-Verlag, 8(2):131–153,August 2005.

54. F. Bonchi, F. Giannotti, C. Gozzi, G. Manco, M. Nanni, D. Pedreschi, C. Renso, and S. Ruggieri. Web log datawarehousing and mining for intelligent web caching. Data and Knowledge Engineering, Elsevier, 32(2):165–189, October2001.

International Conferences55. D. Mottin, F. Bonchi, F. Gullo Graph Query Reformulation with Diversity. In Proceedings of The 21st ACM SIGKDD

International Conference on Knowledge Discovery and Data Mining (KDD 2015), ACM August 10-13, 2015, Sydney,Australia.

56. N. Ruchansky, F. Bonchi, D. Garcia-Soriano, F. Gullo, N. Kourtellis The Minimum Wiener Connector Problem. InProceedings of the 2015 ACM SIGMOD Conference (SIGMOD 2015), ACM May 31 - June 4, 2015, Melbourne, Australia.

57. C. Vaca, D. Quercia, F. Bonchi Taxonomy-based Discovery and Annotation of Functional Areas in the City. In Proceedingsof the 9th International AAAI Conference on Web and Social Media (ICWSM 2015), ACM May 26 - 29, 2015, Oxford,UK.

58. I. Kayes, N. Kourtellis, D. Quercia, A. Iamnitchi, F. Bonchi The Social World of Content Abusers in Community QuestionAnswering. In Proceedings of the 24th International World Wide Web Conference (WWW 2015), ACM, May 18-22, 2015,Florence, Italy.

59. C. Aslay, W. Lu, F. Bonchi, A. Goyal, L. V. S. Lakshmanan Viral Marketing Meets Social Advertising: Ad Allocationwith Minimum Regret. In Proceedings of the 41st International Conference on Very Large Databases (VLDB 2015),VLDB Endowment, August 31 - September 4, 2015, Kohala Coast, Hawai’i.

60. O. Balalau, F. Bonchi, T-H. H. Chan, F. Gullo, M. Sozio. Finding Subgraphs with Maximum Total Density and LimitedOverlap. In Proceedings of the 8th ACM International Conference on Web Search and Data Mining (WSDM 2015), ACMFebruary 2-6, 2015, Shanghai, China.

61. M. Riondato, D. Garcia-Soriano, F. Bonchi. Graph Summarization with Quality Guarantees. In Proceedings of the 14thIEEE International Conference on Data Mining (ICDM 2014), IEEE December 14-17, 2014, Shenzhen, China.

62. Y. Mehmood, N. Barbieri, F. Bonchi. Modeling adoptions and the stages of the diffusion of innovation. In Proceedingsof the 14th IEEE International Conference on Data Mining (ICDM 2014), IEEE December 14-17, 2014, Shenzhen, China.

63. F. Bonchi, D. Garcia-Soriano, E. Liberty. Correlation Clustering: from Theory to Practice. In Proceedings of The 20thACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2014), ACM August 24-27,2014, New York City, USA.

64. N. Barbieri, G. Manco, F. Bonchi. Who to Follow and Why: Link Prediction with Explanations. In Proceedings of The20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2014), ACM August24-27, 2014, New York City, USA.

65. F. Bonchi, F. Gullo, A. Kaltenbrunner, Y. Volkovich. Core Decomposition of Uncertain Graphs. In Proceedings of The20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2014), ACM August24-27, 2014, New York City, USA.

66. P. Parchas, F. Gullo, D. Papadias, F. Bonchi. The Pursuit of a Good Possible World: Extracting Representative Instancesof Uncertain Graphs. In Proceedings of the 2014 ACM SIGMOD Conference (SIGMOD 2014), ACM June 22-27, 2014,Snowbird, Utah, USA.

67. N. Barbieri, F. Bonchi. Influence Maximization with Viral Product Design. In Proceedings of the 2014 SIAM InternationalConference on Data Mining (SDM 2014), SIAM April 24-26, 2014, Philadelphia, Pennsylvania, USA.

68. T. Tassa, F. Bonchi. Privacy Preserving Estimation of Social Influence. In Proceedings of the 17th InternationalConference on Extending Database Technology (EDBT 2014), March 24-28, 2014, Athens, Greece.

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69. C. Aslay, N. Barbieri, F. Bonchi, R. Baeza-Yates. Online Topic-aware Influence Maximization Queries. In Proceedings ofthe 17th International Conference on Extending Database Technology (EDBT 2014), March 24-28, 2014, Athens, Greece.

70. A. Khan, F. Bonchi, A. Gionis, F. Gullo. Fast Reliability Search in Uncertain Graphs. In Proceedings of the 17thInternational Conference on Extending Database Technology (EDBT 2014), March 24-28, 2014, Athens, Greece.

71. F. Bonchi, A. Gionis, F. Gullo, A. Ukkonen. Distance oracles in edge-labeled graphs. In Proceedings of the 17thInternational Conference on Extending Database Technology (EDBT 2014), March 24-28, 2014, Athens, Greece.

72. N. Barbieri, F. Bonchi, G. Manco. Influence-based Network-oblivious Community Detection. In Proceedings of the 13thIEEE International Conference on Data Mining (ICDM 2013), IEEE December 7-10, 2013, Dallas, Texas, USA.

73. L. Macchia, F. Bonchi, F. Gullo, L. Chiarandini. Mining Summaries of Propagations. In Proceedings of the 13th IEEEInternational Conference on Data Mining (ICDM 2013), IEEE December 7-10, 2013, Dallas, Texas, USA.

74. Y. Mehmood, N. Barbieri, F. Bonchi, A. Ukkonen. CSI: Community-level Social Influence analysis. In Proceedingsof The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases(ECML/PKDD 2013), Lecture Notes in Computer Science, ÂľSpringer September 23-27, 2013, Prague, Czech Republic.

75. W. Lu, F. Bonchi, A. Goyal, L. V. S. Lakshmanan. The Bang for the Buck: Fair Competitive Viral Marketing from theHost Perspective. In Proceedings of The 19th ACM SIGKDD International Conference on Knowledge Discovery and DataMining (KDD 2013), ACM August 11-14, 2013, Chicago, IL, USA.

76. K. Kutzkov, A. Bifet, F. Bonchi, A. Gionis. STRIP: Stream Learning of Influence Probabilities. In Proceedings of The19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2013), ACM August11-14, 2013, Chicago, IL, USA.

77. C. E. Tsourakakis, F. Bonchi, A. Gionis, F. Gullo, M. A. Tsiarli. Denser than the densest subgraph: extracting optimalquasi-cliques with quality guarantees. In Proceedings of The 19th ACM SIGKDD International Conference on KnowledgeDiscovery and Data Mining (KDD 2013), ACM August 11-14, 2013, Chicago, IL, USA.

78. L. Weng, J. Ratkiewicz, N. Perra, B. GonÃğalves, C. Castillo, F. Bonchi, R. Schifanella, F. Menczer, A. Flammini.The Role of Information Diffusion in the Evolution of Social Networks. In Proceedings of The 19th ACM SIGKDDInternational Conference on Knowledge Discovery and Data Mining (KDD 2013), ACM August 11-14, 2013, Chicago, IL,USA.

79. S. Amer-Yahia, F. Bonchi, C. Castillo, E. Feuerstein, I. MÃľndez-DÃŋaz, P. Zabala. Complexity and algorithms forcomposite retrieval. Proceedings of the 22nd International World Wide Web Conference (WWW 2013) [poster], ACMMay 13-17, 2013, Rio de Janeiro, Brazil.

80. I. Bordino, G. De Francisci Morales, I. Weber, F. Bonchi. From Machu_Picchu to “rafting the urubamba river:Anticipating information needs via the Entity-Query Graph. In Proceedings of the 6th ACM International Conference onWeb Search and Data Mining (WSDM 2013), ACM February 4-8, 2013, Rome, Italy.

81. N. Barbieri, F. Bonchi, G. Manco. Cascade-based Community Detection. In Proceedings of the 6th ACM InternationalConference on Web Search and Data Mining (WSDM 2013), ACM February 4-8, 2013, Rome, Italy.

82. N. Barbieri, F. Bonchi, G. Manco. Topic-aware Social Influence Propagation Models. In Proceedings of the 12th IEEEInternational Conference on Data Mining (ICDM 2012), IEEE December 10-13, 2012, Brussels, Belgium.

83. I. Mele, F. Bonchi, A. Gionis. The early-adopter graph and its application to web-page recommendation. In Proceedingsof the 21st ACM Conference on Information and Knowledge Management (CIKM 2012) [short], ACM October 29 -November 2, 2012, Maui, Hawaii.

84. F. Bonchi, O. Frieder, F. M. Nardini, F. Silvestri, H. Vahabi. Interactive and Context-Aware Tag Spell Check andCorrection. In Proceedings of the 21st ACM Conference on Information and Knowledge Management (CIKM 2012)[short], ACM October 29 - November 2, 2012, Maui, Hawaii.

85. F. Bonchi, A. Gionis, F. Gullo, A. Ukkonen. Chromatic Correlation Clustering. In Proceedings of The 18th ACM SIGKDDInternational Conference on Knowledge Discovery and Data Mining (KDD 2012), August 12-16, Beijing, China.

86. P. Boldi, F. Bonchi, A. Gionis, T. Tassa. Injecting Uncertainty in Graphs for Identity Obfuscation. In Proceedings of the38th International Conference on Very Large Databases (VLDB 2012), August 27-31, 2012, Istanbul, Turkey.

87. A. Goyal, F. Bonchi, L. V. S. Lakshmanan. A Data-Based Approach to Social Influence Maximization. In Proceedings ofthe 38th International Conference on Very Large Databases (VLDB 2012), August 27-31, 2012, Istanbul, Turkey.

88. F. Bonchi, R. Perego, F. Silvestri, R. Venturini, H. Vahabi. Efficient Query Recommendations in the Long Tail viaCenter-Piece Subgraphs. In Proceedings of the 35th International ACM SIGIR Conference on Research and Developmentin Information Retrieval, (SIGIR 2012) August 12-16, 2012, Portland, Oregon, USA.

89. F. Bonchi, A. Gionis, A. Ukkonen. Overlapping Correlation Clustering. In Proceedings of the 11th IEEE InternationalConference on Data Mining (ICDM 2011) IEEE December 11-14, 2011, Vancouver, Canada.

90. M. Tsytsarau, T. Palpanas, F. Bonchi, A. Gionis. Diverse Dimension Decomposition of an Itemsets Space. In Proceedingsof the 11th IEEE International Conference on Data Mining (ICDM 2011) IEEE December 11-14, 2011, Vancouver,Canada.

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91. M. Papagelis, F. Bonchi, A. Gionis. Suggesting Ghost Edges for a Smaller World. In Proceedings of the 20th ACMConference on Information and Knowledge Management (CIKM 2011) [poster] ACM October 24-28, 2011, Glasgow,Scotland.

92. M. Mathioudakis, F. Bonchi, C.Castillo, A. Gionis, A. Ukkonen. Sparsification of Influence Networks. In Proceedings ofThe 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2011) ACM August21-24, San diego, CA, USA.

93. F. Bonchi. Influence Propagation in Social Networks: A Data Mining Perspective. [keynote abstract], In Proceedings ofThe 2011 IEEE/WIC/ACM International Conference on Web Intelligence (WI-IAT 2011), IEEE, August 22-27, 2011,Lyon, France.

94. F. Bonchi, R. Perego, F. Silvestri, H. Vahabi, R. Venturini. Recommendations for the long tail by term-query graph. InProceedings of The 20th International Conference on World Wide Web (WWW 2011) [poster] ACM March 28 - April 1,2011, Hyderabad, India.

95. F. Bonchi, M. van Leeuwen, A. Ukkonen. Characterizing Uncertain Data using Compression. In Proceedings of The 2011SIAM International Conference on Data Mining (SDM 2011) SIAM April 28-30, 2011, Phoneix, AZ, USA.

96. F. Bonchi, A. Gionis, T. Tassa. Identity Obfuscation in Graphs Through the Information Theoretic Lens. In Proceedingsof The 27th International Conference on Data Engineering (ICDE 2011) IEEE April 11-16, 2011, Hannover, Germany.

97. P. Esfandiar, F. Bonchi, D. F. Gleich, C. Greif, L. V. S. Lakshmanan, B.W. On. Fast Katz and Commuters: EfficientEstimation of Social Relatedness in Large Networks. In Proceedings of the 7th Workshop on Algorithms and Models forthe Web Graph (WAW 2010). Lecture Notes in Computer Science, Springer December 13-14 2010, Stanford University,USA.

98. D. Ienco, F. Bonchi, C.Castillo. The Meme Ranking Problem: Maximizing Microblogging Virality. In Proceedings of theSIASP 2010 workshop at ICDM 2010 (ICDM Workshops 2010) IEEE December 14-18 2010, Sydney, Australia.

99. M. Potamias, F. Bonchi, G. Kollios, A. Gionis. k-Nearest Neighbors in Uncertain Graphs. In Proceedings of the VLDB,the 36th International Conference on Very Large Data Bases (VLDB 2010) September 13-17 2010, Singapore.

100. V. Leroy, B.B. Cambazoglu, F. Bonchi. Cold start link prediction. In Proceedings of The 16th ACM SIGKDD InternationalConference on Knowledge Discovery and Data Mining (KDD 2010) ACM July 25-28, 2010, Washington, DC, USA.

101. D. Donato, F. Bonchi, T. Chi, and Y. Maarek. Do you want to take notes? Identifying research missions in Yahoo!Search Pad. In Proceedings of the 19th International Conference on World Wide Web (WWW 2010). April 26-30, 2010,Raleigh, NC, USA.

102. G. Garrido, F. Bonchi, and A. Gionis. On the high density of leadership nuclei in endorsement social networks. InProceedings of the 19th International Conference on World Wide Web (WWW 2010)[poster]. April 26-30, 2010, Raleigh,NC, USA.

103. A. Goyal, F. Bonchi, and L. V. S. Lakshmanan. Learning Influence Probabilities In Social Networks. In Proceedings ofthe Third ACM International Conference on Web Search and Data Mining (WSDM 2010), ACM. February 4-6, 2010,New York City, USA.

104. M. van Leeuwen, F. Bonchi, A. Siebes and B. Sigurbjörnsson. Compressing Tags to Find Interesting Media Groups. InProceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM 2009), ACM. November2-6, 2009, Hong Kong.

105. M. Potamias, F. Bonchi, C. Castillo and A. Gionis. Fast Shortest Path Distance Estimation in Large Networks. InProceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM 2009), ACM. November2-6, 2009, Hong Kong.

106. P. Boldi, F. Bonchi, C. Castillo and S. Vigna. Voting in Social Networks. In Proceedings of the 18th ACM Conferenceon Information and Knowledge Management (CIKM 2009), ACM. November 2-6, 2009, Hong Kong.

107. P. Boldi, F. Bonchi, C. Castillo and S. Vigna. From “Dango” to“Japanese Cakes”: Query Reformulation Models andPatterns. In Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2009), IEEE.September 15-18, 2009, Milan, Italy.

108. F. Bonchi, C. Castillo, D. Donato and A. Gionis. Taxonomy-driven lumping for sequence mining. In Proceedings of theThe 20th European Conference on Machine Learning and The 13th European Conference on Principles and Practice ofKnowledge Discovery in Databases (ECML/PKDD 2009), Lecture Notes in Computer Science, Springer. September 7-11,2009, Bled, Slovenia.

109. M. Berlingerio, F. Bonchi, B. Bringmann and A. Gionis. Mining Graph Evolution Rules. In Proceedings of the The 20thEuropean Conference on Machine Learning and The 13th European Conference on Principles and Practice of KnowledgeDiscovery in Databases (ECML/PKDD 2009), Lecture Notes in Computer Science, c©Springer. September 7-11, 2009,Bled, Slovenia.

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110. R. Yarovoy, F. Bonchi, L. V. S. Lakshmanan, and W. H. Wang. Anonymizing Moving Objects: How to Hide a MOB ina Crowd? In Proceedings of the 12th International Conference on Extending Database Technology (EDBT 2009), ACM.March 24-26, 2009, Saint-Petersburg, Russia.

111. A. Goyal, B. W. On, F. Bonchi, and L. V. S. Lakshmanan. GuruMine: a Pattern Mining System for Discovering Leadersand Tribes. In Proceedings of the 25th IEEE International Conference on Data Engineering (ICDE 2009), IEEE. March29 - April 4, 2009, Shanghai, China.

112. P. Boldi, F. Bonchi, C. Castillo, D. Donato, S.Vigna. Query suggestions using query-flow graphs. In Proceedings ofWorkshop on Web Search Click Data (WSCD 2009) ACM February 9, 2009, Barcelona, Spain.

113. M. Sydow, F. Bonchi, C. Castillo, D. Donato. Optimising topical query decomposition. In Proceedings of Workshop onWeb Search Click Data (WSCD 2009) ACM February 9, 2009, Barcelona, Spain.

114. R. Trasarti, F. Bonchi, and B. Goethals. Sequence Mining Automata: a New Technique for Mining Frequent SequencesUnder Regular Expressions. In Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008),IEEE. December 15-19, 2008, Pisa, Italy.

115. A. Goyal, F. Bonchi, and L. V. S. Lakshmanan. Discovering Leaders from Community Actions. In Proceedings of ACM17th Conference on Information and Knowledge Management (CIKM 2008), ACM. October 26-30, 2008, Napa Valley,California, USA.

116. P. Boldi, F. Bonchi, C. Castillo, D. Donato, A. Gionis, and S.Vigna. The Query-flow Graph: Model and Applications. InProceedings of ACM 17th Conference on Information and Knowledge Management (CIKM 2008), ACM. October 26-30,2008, Napa Valley, California, USA.

117. F. Bonchi, C. Castillo, D. Donato, and A. Gionis. Topical Query Decomposition. In Proceedings of The 14th ACMSIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2008), ACM. August 24-27, 2008,Las Vegas, Nevada, USA.

118. O. Abul, F. Bonchi, and M. Nanni. Never Walk Alone: Uncertainty for Anonymity in Moving Objects Databases. InProceedings of The 24th International Conference on Data Engineering (ICDE 2008), IEEE. April 7-12, 2008, Cancun,Mexico.

119. O. Abul, M. Atzori, F. Bonchi, F. Giannotti. Hiding Sensitive Trajectory Patterns. In Proceedings of the 6th IEEEInternational Workshop on Privacy Aspects of Data Mining (PADM’07 in conjunction with ICDM’07), IEEE 28 October2007, Omaha, Nebraska.

120. M. Berlingerio, F. Bonchi, F. Giannotti, F. Turini. Time-annotated Sequences for Medical Data Mining. In Proceedingsof The IEEE International Workshop of Data Mining in Medicine 2007 (DMMed ’07 in conjunction with ICDM’07), IEEE28 October 2007, Omaha, Nebraska.

121. M. Atzori, F. Bonchi, F. Giannotti, D. Pedreschi, O. Abul. Privacy-Aware Knowledge Discovery from Location Data.In Proceedings of The IEEE International Workshop on Privacy-Aware Location-based Mobile Services (PALMS’07 inconjunction with MDM’07), IEEE 11 May 2007, Mannheim, Germany.

122. O. Abul, M. Atzori, F. Bonchi, F. Giannotti. Hiding Sequences. In Proceedings of the IEEE Third International Workshopon Privacy Data Management (PDM’07 in conjunction with ICDE’07), IEEE April 16, 2007, Istanbul, Turkey.

123. M. Berlingerio, F. Bonchi, F. Giannotti, and F. Turini. Mining Clinical Data with a Temporal Dimension: a Case Study. InProceedings of The 1st IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007), IEEE. November2-4, 2007, San Jose, California.

124. F. Bonchi, F. Giannotti, C. Lucchese, S. Orlando, R. Perego and R. Trasarti. ConQueSt: a Constraint-based QueryingSystem for Exploratory Pattern Discovery. In Proceedings of The 22nd International Conference on Data Engineering(ICDE’06), IEEE. April 3-7, 2006, Atlanta, GA, USA.

125. M. Berlingerio, F. Bonchi, M. Curcio, S. Chelazzi, F. Giannotti, and F. Scatena. Mining HLA Patterns Explaining LiverDiseases. In Proceedings of The 19th IEEE International Symposium on Computer-Based Medical systems (CBMS’06),IEEE. June 22-23, 2006, Salt Lake City, Utah, USA.

126. F. Bonchi, F. Giannotti, C. Lucchese, S. Orlando, R. Perego, R. Trasarti. On Interactive Pattern Mining from RelationalDatabases. In Proceedings of The 5th International Workshop on Knowledge Discovery in Inductive Databases (KDID’06),Lecture Notes in Computer Science, Volume 4747, Springer 18 September, 2006, Berlin, Germany.

127. S. Bistarelli, F. Bonchi. Extending the Soft Constraint Based Mining Paradigm. In Proceedings of The 5th InternationalWorkshop on Knowledge Discovery in Inductive Databases (KDID’06), Lecture Notes in Computer Science, Volume 4747,Springer 18 September, 2006, Berlin, Germany.

128. M. Atzori, F. Bonchi, F. Giannotti and D. Pedreschi. Towards Low-Perturbation Anonymity Preserving Pattern Discovery.In Proceedings of the The 21st Annual ACM Symposium on Applied Computing, ACM. Dijon, France April 23-27, 2006.

129. M. Atzori, F. Bonchi, F. Giannotti and D. Pedreschi. Anonymity Threats Raised by Frequent Itemset Mining. InProceedings of the Fifth IEEE International Conference on Data Mining (ICDM’05), IEEE. November 27-30, 2005, NewOrleans, Louisiana, USA.

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130. S. Bistarelli and F. Bonchi. Interestingness is not a Dichotomy: Introducing Softness in Constrained Pattern Mining.In Proceedings of the Ninth European Conference on Principles and Practice of Knowledge Discovery in Databases(PKDD’05), Lecture Notes in Computer Science, Volume 3721, Springer. October 3 - 7, 2005, Porto, Portugal.

131. M. Atzori, F. Bonchi, F. Giannotti and D. Pedreschi. k-Anonymous Patterns. In Proceedings of the Ninth EuropeanConference on Principles and Practice of Knowledge Discovery in Databases (PKDD’05), Lecture Notes in ComputerScience, Volume 3721, Springer. October 3-7, 2005, Porto, Portugal.

132. F. Bonchi and C. Lucchese. Pushing Tougher Constraints in Frequent Pattern Mining. In Proceedings of the NinthPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’05), Lecture Notes in Computer Science,Volume 3518, Springer. May 18 - 20, 2005, Hanoi, Vietnam.

133. F. Bonchi and C. Lucchese. On Closed Constrained Frequent Pattern Mining. In Proceedings of the Fourth IEEEInternational Conference on Data Mining (ICDM’04), IEEE. November 01 - 04, 2004. Brighton, UK.

134. F. Bonchi and B. Goethals. FP-Bonsai: the Art of Growing and Pruning Small FP-trees. In Proceedings of the EighthPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’04). Lecture Notes in Computer Science,Volume 3056, Springer. May 26 - 28, 2004, Sydney, Australia.

135. F. Bonchi, F. Giannotti, A. Mazzanti and D. Pedreschi. ExAMiner: Optimized Level-wise Frequent Pattern Mining withMonotone Constraints. In Proceedings of the Third IEEE International Conference on Data Mining (ICDM’03), IEEE.November 19 - 22, 2003 Melbourne, Florida, USA.

136. F. Bonchi, F. Giannotti, A. Mazzanti and D. Pedreschi. ExAnte: Anticipated Data Reduction in Constrained PatternMining. In Proceedings of the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases(PKDD’03), Lecture Notes in Computer Science, Volume 2838, Springer. September 22-26, 2003, Cavtat-Dubrovnik,Croatia.

137. F. Bonchi, F. Giannotti, A. Mazzanti and D. Pedreschi. Adaptive Constraint Pushing in Frequent Pattern Mining. InProceedings of the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD’03),Lecture Notes in Computer Science, Volume 2838, Springer. September 22-26, 2003, Cavtat-Dubrovnik, Croatia.

138. F. Bonchi, S. Lombardo, S. Pecori and A. Santucci. Relationships Between Urban and Natural Environment InvestigatedThrough GIS and AI Tools. In Proceedings of 23rd Urban Data Management Symposium , Prague, Czech RepublicOctober 1 - 4, 2002.

139. F. Bonchi, F. Giannotti, G. Manco, M. Nanni, D. Pedreschi, C. Renso, and S. Ruggieri. Data mining for intelligent webcaching. In Proceedings of the International Conference on Information Technology (ITCC 2001) , IEEE, 2001.

140. F. Bonchi, R. Fenu, F. Giannotti, C. Gozzi, G. Manco, M. Nanni, D. Pedreschi, C. Renso, S. Ruggieri and L. Sannais.Adaptive Web Caching Using Decision Trees. In Proceedings of 2001 SIAM workshop on Web Mining, SIAM, Chicago,2001.

141. F. Bonchi, F. Giannotti and D. Pedreschi. On Verification in Logic Database Languages. In Proceedings of the FirstInternational Conference on Computational Logic (CL 2000 - DOOD 2000), Lecture Notes in Computer Science, Volume1861, Springer. 24-28 July, 2000, London, UK.

142. F. Bonchi, F. Giannotti, G. Mainetto and D. Pedreschi. Using Data Mining Techniques in Fiscal Fraud Detection. InProceedings of the First International Conference on Data Warehousing and Knowledge Discovery (DaWaK’99), LectureNotes in Computer Science, Volume 1676, Springer. August 30 - September 1, 1999, Florence, Italy.

143. F. Bonchi, F. Giannotti, G. Mainetto and D. Pedreschi. A Classification-based Methodology for Planning Audit Strategiesin Fraud Detection. In Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and datamining (KDD’99), ACM. August 15-18, 1999, San Diego, CA, USA.

Book Chapters144. F. Bonchi. Privacy Preserving Publication of Moving Object Data. In “Privacy in Location-Based Applications”, C.

Bettini, S. Jajodia, P. Samarati, X. S. Wang Eds., State of the Art Survey, LNCS vol. 5599, Springer, 2009.145. M. Berlingerio, F. Bonchi, M. Curcio, F. Giannotti, and F. Turini. Mining Clinical, Immunological, and Genetic Data

of Solid Organ Transplantation. In “Biomedical Data and Applications”, Amandeep S. Sidhu and Tharam S.Dillon Ed.,Studies in Computational Intelligence, Volume 224/2009, Springer, 2009.

146. F. Bonchi. Constraint-based Pattern Discovery. In “Encyclopedia of Data Warehousing and Mining, 2nd Edition”, JohnWang Ed., Idea Group Publisher, 2007.

147. F. Bonchi, Y. Saygin, V.S. Verykios, M. Atzori, A. Gkoulalas-Divanis, S.V. Kaya, and E. Savas. Privacy in SpatiotemporalData Mining. In “Mobility, Privacy, and Geography: a Knowledge Discovery perspective”, Springer, 2007.

148. F. Bonchi, F. Turini, B. Malin, B. Moelans, D. Pedreschi, Y. Saygin and V.S. Verykios. Privacy Protection: Regulation,Threats and Opportunities. In “Mobility, Privacy, and Geography: a Knowledge Discovery perspective”, Springer, 2007.

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149. F. Bonchi, F. Giannotti and D. Pedreschi. A Relational Query Primitive For Constraint-based Pattern Mining. In“Inductive Databases and Constraint Based Mining”, Luc DeRaedt, Jean-Francois Boulicaut and Heikki Mannila Ed.,Lecture Notes in Computer Science, Volume 3848, Springer, 2005.

150. F. Bonchi and F. Giannotti. Pushing Constraints To Detect Local Patterns. In “Detecting Local Patterns”, KatharinaMorik, Jean-Francois Boulicaut and Arno Siebes Ed., Lecture Notes in Computer Science, Volume 3539, Springer, 2005.

151. F. Bonchi, S. Lombardo and S. Pecori. Knowledge Discovery and Data Mining to Investigate Urban and TerritorialEvolution: Tools and Methodologies. In “Evolving Cities - Geocomputation in Territorial Planning”, Chapter 5, LidiaDiappi Ed., Ashgate, October 2004.

152. F. Bonchi, S. Lombardo, S. Pecori and A. Santucci. Learning about Land Use Change in Rome and Pisa Urban Areas.In “Evolving Cities - Geocomputation in Territorial Planning”, Chapter 6, Lidia Diappi Ed., Ashgate, October 2004.

National Conferences153. P. Parchas, F. Gullo, D. Papadias, F. Bonchi. The Pursuit of a Good Possible World: Extracting Representative Instances

of Uncertain Graphs. In Proceedings of the 12th Hellenic Data Management Symposium (HDMS’14), 2014.154. N. Barbieri, F. Bonchi, G. Manco. Topic-aware Social Influence Propagation Models (Discussion Paper). In Proceedings

of the 21st Italian Symposium on Advanced Database Systems (SEBD’13), 2013.155. R. Trasarti, F. Bonchi and B. Goethals. A new technique for sequential pattern mining under regular expressions. In

Proceedings of the 17th Italian Symposium on Advanced Database Systems (SEBD’09), 2009.156. M. Berlingerio, F. Bonchi and F. Giannotti. Towards Constraint-Based Subgraph Mining (extended abstract). In

Proceedings of the 15th Italian Symposium on Advanced Database Systems (SEBD’07), 2007.157. O. Abul, M. Atzori, F. Bonchi and F. Giannotti. Hiding Sequences. In Proceedings of the 15th Italian Symposium on

Advanced Database Systems (SEBD’07), 2007.158. F. Bonchi, F. Giannotti, C. Lucchese, S. Orlando, R. Perego and R. Trasarti. On Interactive Pattern Mining from

Relational Databases. In Proceedings of the 14th Italian Symposium on Advanced Database Systems (SEBD’06), 2006.159. F. Bonchi, F. Giannotti, D. Pedreschi and F. Turini. Privacy and Data Mining: the GeoPKDD Approach. In Primo

workshop italiano su PRIvacy e SEcurity (PRISE’06), 2006.160. F. Bonchi, F. Giannotti and D. Pedreschi. Frequent Pattern Queries for Flexible Knowledge Discovery. In Proceedings of

the Twelfth Italian Symposium on Advanced Database Systems (SEBD’04), 2004.161. F. Bonchi, F. Giannotti and D. Pedreschi. Frequent Pattern Queries for Flexible Knowledge Discovery. In Atti del

Convegno Italiano di Logica Computazionale (CILC’04), “Quaderno del Dipartimento di Matematica”, Universita’ diParma, n. 390, Novembre 2004.

162. F. Bonchi and S. Pecori. Data mining ed estrazione della conoscenza da grandi database territoriali. In Proceedings ofthe Third Italian conference on informatics and urban and territorial planning: knowledge building and management(Input’03), 2003.

163. F. Bonchi, F. Giannotti, A. Mazzanti and D. Pedreschi. Pre-processing for Constrained Pattern Mining. In Proceedingsof the Eleventh Italian Symposium on Advanced Database Systems (SEBD’03), 2003.

164. F. Bonchi, F. Giannotti, G. Mainetto and D. Pedreschi. Una Metodologia Basata sulla Classificazione per la Pianificazionedegli Accertamenti nel Rilevamento di Frodi. In Proceedings of the Seventh Italian Symposium on Advanced DatabaseSystems (SEBD’99), 1999.

Ph.D. Thesis165. F. Bonchi. Frequent Pattern Queries: Language and Optimizations. PhD thesis TD10-03, Dipartimento di Informatica,

Università di Pisa, 2003.

Tutorial166. F. Bonchi, D. Garcia-Soriano, E. Liberty. Correlation Clustering: from Theory to Practice. In Proceedings of The 20th

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2014), ACM August 24-27,2014, New York City, USA.

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RefereesReference letters can be asked to:

{ Ricardo Baeza-Yates (ACM Fellow and IEEE Fellow), he has been my manager in the period [2008-2015]. VP ofResearch for Europe and Latin America, leading the Yahoo! Labs at Barcelona, Spain and Santiago, Chile. Until 2012 healso supervised the lab in Haifa, Israel. Until 2005 he was the director of the Center for Web Research at the Departmentof Computer Science of the Engineering School of the University of Chile; and ICREA Professor and founder of the WebResearch Group at the Dept. of Information and Communication Technologies of Universitat Pompeu Fabra in Barcelona,Spain. E-mail: rbaeza@acm.org

{ Aristides Gionis, director of the Algorithmic Data Analysis (ADA) programme in Helsinki Institute for Informationtechnology (HIIT), and leader of the Data Mining group in the Information and Computer Science department of AaltoUniversity. We have been colleagues and teammates during the period [2008-2012], and we have co-authored more than30 scientific papers. E-mail: aristides.gionis@aalto.fi

{ Laks V.S. Lakshmanan, Full Professor at Department of Computer Science, The University of British Columbia (UBC)Vancouver, BC, Canada. We frequently collaborate and exchange visits. We have co-authored more than 15 scientificpapers. E-mail: laks@cs.ubc.ca

Trattamento dei dati personaliIl sottoscritto autorizza al trattamento dei dati personali, secondo quanto previsto dal D. Lgs. 196/2003.FirmatoFrancesco Bonchi

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