Publications

2013

Michael Mampaey, Siegfried Nijssen, Ad Feelders, Rob Konijn, Arno Knobbe (2013): Efficient algorithms for finding optimal binary features in numeric and nominal labeled data. In: Journal of Knowledge and Information Systems (KAIS), 2013. (Type: Journal Article | BibTeX)
Michael Mampaey, Jilles Vreeken (2013): Summarizing Categorical Data by Clustering Attributes. In: Data Mining and Knowledge Discovery, 26 (1), pp. 130–173, 2013. (Type: Journal Article | Links | BibTeX)

2012

Michael Mampaey, Siegfried Nijssen, Ad Feelders, Arno Knobbe (2012): Efficient Algorithms for Finding Richer Subgroup Descriptions in Numeric and Nominal Data. In: Proceedings of the 12th IEEE International Conference on Data Mining (ICDM), IEEE, 2012. (Type: Inproceeding | BibTeX)
Michael Mampaey, Jilles Vreeken, Nikolaj Tatti (2012): Summarizing Data Succinctly with the Most Informative Itemsets. In: Transactions on Knowledge Discovery from Data, 6 (4), 2012. (Type: Journal Article | BibTeX)
Hao Wu, Michael Mampaey, Nikolaj Tatti, Jilles Vreeken, M. Shahriar Hossain, Naren Ramakrishnan (2012): Where do I Start? Algorithmic strategies to guide intelligence analysis. In: ACM SIGKDD Workshop on Intelligence and Security Informatics (ISI-KDD), 2012. (Type: Inproceeding | BibTeX)

2011

Michael Mampaey (2011): Summarizing Data with Informative Patterns. University of Antwerp, 2011, ISBN: 978-90-5728-348-2. (Type: PhD Thesis | Links | BibTeX)
Michael Mampaey, Nikolaj Tatti, Jilles Vreeken (2011): Data Summarization with Informative Itemsets. In: Proceedings of the 23rd Benelux Conference on Artificial Intelligence (BNAIC), pp. 409, 2011. (Type: Inproceeding | BibTeX)
Michael Mampaey, Nikolaj Tatti, Jilles Vreeken (2011): Tell me what I need to know: Succinctly summarizing data with itemsets. In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 573–581, ACM, 2011. (Type: Inproceeding | Links | BibTeX)

2010

Nikolaj Tatti, Michael Mampaey (2010): Using Background Knowledge to Rank Itemsets. In: Data Mining and Knowledge Discovery, 21 (2), pp. 293–309, 2010. (Type: Journal Article | Links | BibTeX)
Michael Mampaey, Jilles Vreeken (2010): Summarising Data by Clustering Items. In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), pp. 321–336, Springer, 2010. (Type: Inproceeding | Links | BibTeX)
Michael Mampaey (2010): Mining Non-redundant Information-Theoretic Dependencies between Itemsets. In: Proceedings of DaWaK 2010, pp. 130–141, Springer, 2010. (Type: Inproceeding | Links | BibTeX)
Bart Goethals, Wim Le Page, Michael Mampaey (2010): Mining Interesting Sets and Rules in Relational Databases. In: Proceedings of the 25th ACM Symposium on Applied Computing (SAC), pp. 996-1000, ACM, 2010. (Type: Inproceeding | Links | BibTeX)

2009

Bart Goethals, Wim Le Page, Michael Mampaey (2009): Mining Interesting Sets and Rules in Relational Databases. University of Antwerp (09.02), 2009. (Type: Technical Report | Links | BibTeX)

2007

Toon Calders, Bart Goethals, Michael Mampaey (2007): Mining itemsets in the presence of missing values. In: Proceedings of the ACM Symposium on Applied Computing (SAC), pp. 404–408, ACM, 2007. (Type: Inproceeding | Links | BibTeX)

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