| 2010 | ||
|---|---|---|
| 26 | Piotr Rzepakowski, Szymon Jaroszewicz: Decision Trees for Uplift Modeling. ICDM 2010: 441-450 | |
| 25 | Szymon Jaroszewicz: Using interesting sequences to interactively build Hidden Markov Models. Data Min. Knowl. Discov. 21(1): 186-220 (2010) | |
| 2009 | ||
| 24 | Szymon Jaroszewicz, Tobias Scheffer, Dan A. Simovici: Scalable pattern mining with Bayesian networks as background knowledge. Data Min. Knowl. Discov. 18(1): 56-100 (2009) | |
| 2008 | ||
| 23 | Szymon Jaroszewicz: Minimum Variance Associations - Discovering Relationships in Numerical Data. PAKDD 2008: 172-183 | |
| 22 | Szymon Jaroszewicz, Lenka Ivantysynova, Tobias Scheffer: Schema matching on streams with accuracy guarantees. Intell. Data Anal. 12(3): 253-270 (2008) | |
| 2007 | ||
| 21 | Toon Calders, Szymon Jaroszewicz: Efficient AUC Optimization for Classification. PKDD 2007: 42-53 | |
| 20 | Szymon Jaroszewicz, Marcin Korzen: Approximating Representations for Large Numerical Databases. SDM 2007 | |
| 2006 | ||
| 19 | Szymon Jaroszewicz, Marcin Korzen: Comparison of Information Theoretical Measures for Reduct Finding. ICAISC 2006: 518-527 | |
| 18 | Szymon Jaroszewicz: Polynomial association rules with applications to logistic regression. KDD 2006: 586-591 | |
| 17 | Toon Calders, Bart Goethals, Szymon Jaroszewicz: Mining rank-correlated sets of numerical attributes. KDD 2006: 96-105 | |
| 16 | Dan A. Simovici, Szymon Jaroszewicz: Generalized Conditional Entropy and a Metric Splitting Criterion for Decision Trees. PAKDD 2006: 35-44 | |
| 15 | Dan A. Simovici, Szymon Jaroszewicz: A new metric splitting criterion for decision trees. IJPEDS 21(4): 239-256 (2006) | |
| 2005 | ||
| 14 | Marcin Korzen, Szymon Jaroszewicz: Finding Reducts Without Building the Discernibility Matrix. ISDA 2005: 450-455 | |
| 13 | Szymon Jaroszewicz, Tobias Scheffer: Fast discovery of unexpected patterns in data, relative to a Bayesian network. KDD 2005: 118-127 | |
| 2004 | ||
| 12 | Szymon Jaroszewicz, Dan A. Simovici: Interestingness of frequent itemsets using Bayesian networks as background knowledge. KDD 2004: 178-186 | |
| 11 | Dan A. Simovici, Szymon Jaroszewicz: A Metric Approach to Building Decision Trees Based on Goodman-Kruskal Association Index. PAKDD 2004: 181-190 | |
| 10 | Szymon Jaroszewicz, Dan A. Simovici, Ivo G. Rosenberg: Measures on Boolean polynomials and their applications in data mining. Discrete Applied Mathematics 144(1-2): 123-139 (2004) | |
| 2003 | ||
| 9 | Dan A. Simovici, Szymon Jaroszewicz: Generalized Conditional Entropy and Decision Trees. EGC 2003: 369-380 | |
| 2002 | ||
| 8 | Ivo G. Rosenberg, Dan A. Simovici, Szymon Jaroszewicz: On Functions Defined on Free Boolean Algebras. ISMVL 2002: 192- | |
| 7 | Szymon Jaroszewicz, Dan A. Simovici: Pruning Redundant Association Rules Using Maximum Entropy Principle. PAKDD 2002: 135-147 | |
| 6 | Szymon Jaroszewicz, Dan A. Simovici: Support Approximations Using Bonferroni-Type Inequalities. PKDD 2002: 212-224 | |
| 5 | Dan A. Simovici, Szymon Jaroszewicz: An axiomatization of partition entropy. IEEE Transactions on Information Theory 48(7): 2138-2142 (2002) | |
| 2001 | ||
| 4 | Dan A. Simovici, Szymon Jaroszewicz: An Axiomatization of Generalized Entropy of Partitions. ISMVL 2001: 259- | |
| 3 | Szymon Jaroszewicz, Dan A. Simovici: A General Measure of Rule Interestingness. PKDD 2001: 253-265 | |
| 2000 | ||
| 2 | Szymon Jaroszewicz, Dan A. Simovici: Data Mining of Weak Functional Decompositions. ISMVL 2000: 77-82 | |
| 1999 | ||
| 1 | Szymon Jaroszewicz, Dan A. Simovici: On Axiomatization of Conditional Entropy of Functions Between Finite Sets. ISMVL 1999: 24-28 | |
| 1 | Toon Calders | [17] [21] |
| 2 | Bart Goethals | [17] |
| 3 | Lenka Ivantysynova | [22] |
| 4 | Marcin Korzen | [14] [19] [20] |
| 5 | Ivo G. Rosenberg | [8] [10] |
| 6 | Piotr Rzepakowski | [26] |
| 7 | Tobias Scheffer | [13] [22] [24] |
| 8 | Dan A. Simovici | [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [15] [16] [24] |
Colors in the list of coauthors
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