Michael Mampaey, Ph.D.
Affiliations: | 2011 | Universiteit Antwerpen (Belgium) |
Area:
Computer ScienceGoogle:
"Michael Mampaey"Parents
Sign in to add mentor| Bart Goethals | grad student | 2011 | Universiteit Antwerpen (Belgium) | |
| (Summarizing Data with Informative Patterns.) | ||||
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Publications
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| Boley M, Mampaey M, Kang B, et al. (2013) One click mining-interactive local pattern discovery through implicit preference and performance learning Proceedings of the Acm Sigkdd 2013 Workshop On Interactive Data Exploration and Analytics, Idea 2013. 27-35 |
| Mampaey M, Vreeken J. (2013) Summarizing categorical data by clustering attributes Data Mining and Knowledge Discovery. 26: 130-173 |
| Mampaey M, Nijssen S, Feelders A, et al. (2013) Efficient algorithms for finding optimal binary features in numeric and nominal labeled data Knowledge and Information Systems. 1-28 |
| Mampaey M, Vreeken J, Tatti N. (2012) Summarizing data succinctly with the most informative itemsets Acm Transactions On Knowledge Discovery From Data. 6 |
| Wu H, Mampaey M, Tatti N, et al. (2012) Where do I start? Algorithmic strategies to guide intelligence analysts Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining |
| Mampaey M, Nijssen S, Feelders A, et al. (2012) Efficient algorithms for finding richer subgroup descriptions in numeric and nominal data Proceedings - Ieee International Conference On Data Mining, Icdm. 499-508 |
| Goethals B, Le Page W, Mampaey M. (2010) Mining interesting sets and rules in relational databases Proceedings of the Acm Symposium On Applied Computing. 997-1001 |
| Tatti N, Mampaey M. (2010) Using background knowledge to rank itemsets Data Mining and Knowledge Discovery. 21: 293-309 |
| Mampaey M. (2010) Mining non-redundant information-theoretic dependencies between itemsets Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6263: 130-141 |
| Calders T, Goethals B, Mampaey M. (2007) Mining itemsets in the presence of missing values Proceedings of the Acm Symposium On Applied Computing. 404-408 |