Boris Cule

Post-doctoral researcher in the ADReM Research Group
Advanced Database Research and Modelling

University of Antwerp
Dept. of Mathematics and Computer Science

Office G.329
Middelheimlaan 1
2020 Antwerpen
Belgium

Tel: (+32) 3 265 32 64
Fax: (+32) 3 265 37 77
E-mail: boris.cule at uantwerp.be

About me

I am currently working as a post-doctoral researcher within the ADReM group at the University of Antwerp. In 2012, under the supervision of prof. Bart Goethals, I obtained my Ph.D. in Computer Science, defending my thesis entitled "Searching for Patterns in Long Sequences".

Before that, I completed a Master in Mathematics (option Computer Science) at the same university, and, parallel to my studies, I worked as a database administrator at SCOB, a research centre within the Faculty of Economics.

Publications


journal papers
Pattern Based Sequence Classification
Cheng Zhou, Boris Cule and Bart Goethals
Transactions on Knowledge and Data Engineering, IEEE 2016

A pattern based predictor for event streams
Cheng Zhou, Boris Cule and Bart Goethals
Expert Systems with Applications, Elsevier 2015

Mining the entire Protein DataBank for frequent spatially cohesive amino acid patterns
(additional files: 1 2 3 4 5 6 7 8 9 10 )
Pieter Meysman, Cheng Zhou, Boris Cule, Bart Goethals and Kris Laukens
BioData mining, BioMed Central Ltd 2015

MARBLES: Mining Association Rules Buried in Long Event Sequences
Boris Cule, Nikolaj Tatti and Bart Goethals
Statistical Analysis and Data Mining, Wiley 2014

Discovery of Spatially Cohesive Itemsets in Three-dimensional Protein Structures
Cheng Zhou, Pieter Meysman, Boris Cule, Kris Laukens and Bart Goethals
IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE 2014

Mining Closed Strict Episodes
Nikolaj Tatti and Boris Cule
Data Mining and Knowledge Discovery, Volume 25 (1), Springer 2012

conference papers
Efficient Discovery of Sets of Co-occurring Items in Event Sequences
Boris Cule, Len Feremans and Bart Goethals
Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Data (ECML PKDD 2016)

Cohesion Based Co-location Pattern Mining
Cheng Zhou, Boris Cule and Bart Goethals.
Proc. International Conference on Data Science and Advanced Analytics (DSAA 2015)

Space-bounded query approximation
Boris Cule, Floris Geerts and Reuben Ndindi
Proc. 19th East-European Conference on Advances in Databases and Information Systems (ADBIS 2015)

Mining Association Rules in Graphs based on Frequent Cohesive Itemsets
Tayena Hendrickx, Boris Cule, Pieter Meysman, Stefan Naulaerts, Kris Laukens and Bart Goethals
Proc. 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2015)

Mining Cohesive Itemsets in Graphs
Tayena Hendrickx, Boris Cule and Bart Goethals
Proc. International Conference on Discovery Science (DS 2014)

Itemset Based Sequence Classification
Cheng Zhou, Boris Cule and Bart Goethals
Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Data (ECML PKDD 2013)

Mining Spatially Cohesive Itemsets in Protein Molecular Structures
Cheng Zhou, Pieter Meysman, Boris Cule, Kris Laukens and Bart Goethals
Proc. 12th International Workshop on Data Mining in Bioinformatics (BioKDD 2013)

Mining Interesting Itemsets in Graph Datasets
Boris Cule, Bart Goethals and Tayena Hendrickx
Proc. 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013)

MARBLES: Mining Association Rules Buried in Long Event Sequences
Boris Cule, Nikolaj Tatti and Bart Goethals
Proc. SIAM International Conference on Data Mining (SDM 2012)

Mining Train Delays
Boris Cule, Bart Goethals, Sven Tassenoy and Sabine Verboven
Proc. 10th International Symposium on Intelligent Data Analysis (IDA 2011)

Mining Closed Episodes with Simultaneous Events
Nikolaj Tatti and Boris Cule
Proc. 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2011)

Mining Closed Strict Episodes
Nikolaj Tatti and Boris Cule
Proc. 10th IEEE International Conference on Data Mining (ICDM 2010)

Mining Association Rules in Long Sequences
Boris Cule and Bart Goethals
Proc. 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2010)

A new constraint for mining sets in sequences
Boris Cule, Bart Goethals and CĂ©line Robardet
Proc. SIAM International Conference on Data Mining (SDM 2009)

Ph.D. Thesis
Searching for Patterns in Long Sequences
Boris Cule
Ph.D. Thesis
University of Antwerp, 2012