Bart Goethals
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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.
- On Januari 1st 2003, I started 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!
- Soon (October 1st 2004), I will move to the University of Antwerp, to join the ADReM research group.
Research
Topics
- Data Mining (KDD) (PKDD) (ICDM) (SDM) (PAKDD) (SIGMOD/PODS) (VLDB) (FIMI) ...
- Inductive Databases (KDID)
- Computational Genetics (RECOMB)
Implementations of Apriori, Eclat, FP-growth, Rules (Frequent Itemset / Association Rule Mining)
Students
- Michael Holler (Nice Java-Implementations of Apriori and NDI available)
- Juho Muhonen
- Dan Mihaila ("Politehnica" University of Bucharest)
- IEEE ICDM'01 Best Paper Award.
"A Tight Upper Bound on the Number of Candidate Patterns",F. Geerts, B. Goethals, and J. Van den Bussche - KDNet Best PKDD-2002 Paper Award.
"Mining all Non-Derivable Frequent Itemsets",T. Calders, B. Goethals.
Teaching
- Special Course on Data Mining
Autumn 2003: 29.10.-4.12. Wed 12-14, Thu 12-14, room A217
Scientific Activities
Co-Chair
- The 2nd International Workshop on Frequent Itemset Mining Implementations (FIMI'04), November 1, Brighton, UK, 2004.
- The 3rd International Workshop on Knowledge Discovery in Inductive Databases (KDID'04), September 20, Pisa, Italy, 2004.
- The 1st International Workshop on Frequent Itemset Mining Implementations (FIMI'03), November 19, Florida, Melbourne, USA, 2003.
- The 2005 ACM Symposium of Applied Computing (SAC), Special Track on Data Mining (DM), 2005.
- The 10th ACM International Conference on Knowledge Discovery and Data Mining (KDD), 2004.
- The 4th IEEE International Conference of Data Mining (ICDM), 2004.
- The 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), 2004.
- The 2004 ACM Symposium of Applied Computing (SAC), Special Track on Data Mining (DM), 2004.
- The 2nd International Workshop on Knowledge Discovery in Inductive Databases (KDID), 2003.


