About site: Computer Science/People/G - Goethals, Bart
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  About site: http://www.adrem.ua.ac.be/~goethals/

Title: Computer Science/People/G - Goethals, Bart Post-doctoral researcher of the ADReM research group at the University of Antwerp, Belgium. Research topics are: databases, data mining, and inductive databases.
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Bart Goethals' homepage <b>ADReM</b> Logo

Bart Goethals

Professor in the research group on Advanced Database Research and Modelling (ADReM) University of Antwerp Mathematics and Computer Science Department Middelheimlaan 1 B-2020 Antwerpen Belgium Office phone: +32 3 265 33 09 Fax: +32 3 265 37 77 Mobile phone: +32 486 983603 E-mail: my firstname dot my lastname at ua dot ac dot be Personal Information I graduated in 1997 from the University of Antwerp (UIA) with a diploma in Computer Science. I received my PhD in Computer Science in 2002 from the University of Limburg (tUL), in the research group on theoretical computer science. From Januari 1st 2003 until September 30th 2004, I worked as a post-doctoral researcher in the Basic Research Unit of the Helsinki Institute for Information Technology, located at the department of Computer Science of the University of Helsinki. On August 23rd 2003, I became the proud father of Fien Goethals! On October 1st 2004, I moved back to the University of Antwerp,to join the ADReM research group. On September 25th 2006, I became the proud father of a second daughter Lina Goethals! As of October 1st 2007, I am Professor in the departement of Mathematics and Computer Science at the University of Antwerp.ResearchTopics Data Mining, Databases, SecurityRecent Publications "Sequence Mining Automata: a New Technique for Mining Frequent Sequences Under Regular Expressions", R. Trasarti, F. Bonchi, B. Goethals (ICDM 2008). "Mining Association Rules of Simple Conjunctive Queries", B. Goethals, W. Le Page, and Heikki Mannila (SDM 2008)."An Inductive Database Prototype Based on Virtual Mining Views" (demo paper), H. Blockeel, T. Calders, E. Fromont, B. Goethals, A. Prado, C. Robardet (KDD 2008)"Mining Views: Database Views for Data Mining" (demo paper),H. Blockeel, T. Calders, E. Fromont, B. Goethals, and A. Prado (ICDE 2008). "Mining Frequent Items in a Stream Using Flexible Windows",T. Calders, N. Dexters, and B. Goethals (Intelligent Data Analysis Journal, 2008). less recent ...Implementations(Frequent Itemset / Association Rule Mining) Apriori, NDI, Eclat, FP-growth, DIC, Rules Awards Best Paper Award for"A Tight Upper Bound on the Number of Candidate Patterns", by F. Geerts, B. Goethals, and J. Van den Bussche (IEEE ICDM 2001) Best Paper Award for"Mining all Non-Derivable Frequent Itemsets", by T. Calders, B. Goethals.(PKDD 2002)PhD Students Boris Cule, Calin Garboni, Wim Le Page, Michael Mampaey, Adriana Prado, Koen SmetsScientific ActivitiesOrganization Tutorial Chair of ACM SIGKDD, 2009. Tutorial Chair of SIAM DM, 2009. Program Chair of ECML PKDD (in Antwerp), 2008. Tutorial Chair of ACM SIGKDD, 2007. Workshop and Tutorial Chair of ECML/PKDD, 2006. Program Chair of Workshop on High Performance and Distributed Mining (HPDM), 2006. Program Chair of Workshop on Open Source Data Mining (OSDM), 2005. Program Chair of 2nd Workshop on Frequent Itemset Mining Implementations (FIMI), 2004. Program Chair of Workshop on Knowledge Discovery in Inductive Databases (KDID), 2004. Program Chair of Workshop on Frequent Itemset Mining Implementations (FIMI), 2003.Program Committee Member for: 2009: EDBT, SIAM DM, 2008: ACM SIGKDD, SIAM DM (Area Chair), PAKDD, ACM SAC DM, Benelearn, ECAI 2007: ACM SIGKDD, IEEE ICDM, SIAM DM, ECML/PKDD, PAKDD, ACM SAC DM, Benelearn, CMILE, ADMKD, IWLMD, ADMA, 2006: ACM SIGKDD, IEEE ICDM, ECML/PKDD (Area Chair), DaWaK, ADMKD, ADMA, ACM SAC DM, KDID, 2005: ACM SIGKDD, IEEE ICDM (Vice Chair), PKDD, KDID, MGTS, ADMKD, ADMA, ACM SAC DM, 2004: ACM SIGKDD, IEEE ICDM, PKDD, ACM SAC DM 2003: KDID Editorial Board member: Action editor of Data Mining and Knowledge Discovery Associate editor of ACM SIGKDD Explorations Reviewer of journals: Data Mining and Knowledge Discovery, ACM Transactions on Knowledge Discovery from Data, ACM Transactions on Database Systems, IEEE Transactions on Knowledge and Data Engineering, Machine Learning, Knowledge and Information Systems, Journal on Artificial Intelligence Research, ACM SIGKDD Explorations, Data and Knowledge Engineering Check Page Ranking UA logo © ADReM - Universiteit Antwerpen - 2008 _uacct = "UA-261150-1";urchinTracker();
 

Post-doctoral

researcher

of

the

ADReM

research

group

at

the

University

of

Antwerp,

Belgium.

Research

topics

are:

databases,

data

mining,

and

inductive

databases.

http://www.adrem.ua.ac.be/~goethals/

Goethals, Bart 2008 October

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Post-doctoral researcher of the ADReM research group at the University of Antwerp, Belgium. Research topics are: databases, data mining, and inductive databases.

Rules




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