Dan Simovici
Dan Simovici
Professor of Computer Science, University of Massachusetts
Verified email at - Homepage
Cited by
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Mathematical tools for data mining
DA Simovici, C Djeraba
SpringerVerlag, London, 2008
Interestingness of frequent itemsets using bayesian networks as background knowledge
S Jaroszewicz, DA Simovici
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
On feature selection through clustering
R Butterworth, G Piatetsky-Shapiro, DA Simovici
Fifth IEEE International Conference on Data Mining (ICDM'05), 4 pp., 2005
Finding median partitions using information-theoretical-based genetic algorithms.
D Cristofor, DA Simovici
J. Univers. Comput. Sci. 8 (2), 153-172, 2002
Stress, anxiety, and depression of both partners in infertile couples are associated with cytokine levels and adverse IVF outcome
F Haimovici, JL Anderson, GW Bates, C Racowsky, ES Ginsburg, ...
American journal of reproductive immunology 79 (4), e12832, 2018
An axiomatization of partition entropy
DA Simovici, S Jaroszewicz
IEEE Transactions on Information Theory 48 (7), 2138-2142, 2002
Pruning redundant association rules using maximum entropy principle
S Jaroszewicz, DA Simovici
Advances in Knowledge Discovery and Data Mining: 6th Pacific-Asia Conference …, 2002
Generating an informative cover for association rules
L Cristofor, D Simovici
2002 IEEE International Conference on Data Mining, 2002. Proceedings., 597-600, 2002
A general measure of rule interestingness
S Jaroszewicz, DA Simovici
Principles of Data Mining and Knowledge Discovery: 5th European Conference …, 2001
A greedy algorithm for supervised discretization
R Butterworth, DA Simovici, GS Santos, L Ohno-Machado
Journal of biomedical informatics 37 (4), 285-292, 2004
Functional entropy and decision trees
V Cheushev, DA Simovici, V Shmerko, S Yanushkevich
Proceedings. 1998 28th IEEE International Symposium on Multiple-Valued Logic …, 1998
Relational database systems
DA Simovici, RL Tenney
Academic Press, Inc., 1995
Detecting eye fixations by projection clustering
T Urruty, S Lew, N Ihadaddene, DA Simovici
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2007
An information-theoretical approach to clustering categorical databases using genetic algorithms
D Cristofor, D Simovici
2nd SIAM ICDM, Workshop on clustering high dimensional data, 2002
Theory of formal languages with applications
DA Simovici, RL Tenney
World Scientific, 1999
Classification with streaming features: An emerging-pattern mining approach
K Yu, W Ding, DA Simovici, H Wang, J Pei, X Wu
ACM Transactions on Knowledge Discovery from Data (TKDD) 9 (4), 1-31, 2015
Mathematical foundations of computer science: Sets, relations, and induction
PA Fejer, DA Simovici
Springer Science & Business Media, 2012
Scalable pattern mining with Bayesian networks as background knowledge
S Jaroszewicz, T Scheffer, DA Simovici
Data Mining and Knowledge Discovery 18, 56-100, 2009
Generalized conditional entropy and decision trees
DA Simovici, S Jaroszewicz
Revue d'intelligence artificielle 17 (1-3), 369-380, 2003
Impurity measures in databases
DA Simovici, D Cristofor, L Cristofor
Acta Informatica 38, 307-324, 2002
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