Data mining patterns by Pascal Poncelet; Maguelonne Teisseire; Florent Masseglia

By Pascal Poncelet; Maguelonne Teisseire; Florent Masseglia

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Toulouse, France. , & Frank, E. (2005). Data mining – Practical machine learning tools and techniques (2nd ed). Amsterdam: Morgan Kaufmann. , & Webb, G. I. (2001). Proportional k interval discretization for naive Bayes classifiers. In Proceedings of the 12th European Conference on Machine Learning, (pp. 564-575). , & Webb, G. I. (2003). Weighted proportional k -interval discretization for naive Bayes classifiers. In Proceedings of the PAKDD. Simovici, D. , & Jaroszewicz, S. (2000). On information-theoretical aspects of relational databases.

2000). Third, their top-down computation exploiting the monotone constraint often performs many useless tests for relatively large datasets, which raises doubts about the performance gained by pushing constraints in the Dualminer algorithm. In a recent study of parallelizing Dualminer (Ting, Bailey, & Ramamohanarao, 2004), the authors showed that by mining relatively small sparse datasets consisting of 10K transactions and 100K items, the sequential version of Dualminer took an excessive amount of time.

Olshen, R. , & Stone, C. J. (1998). Classification and regression trees. Chapman and Hall, Boca Raton. Brown, M. P. , Grundy, W. , Sugnet, C. , Furey, T. , & Haussler, D. (2000). Knowledge-based analysis of microarray gene expression data by using support vector machines. PNAS, 97, 262-267. , & Simovici, D. A. (2005). On feature extraction through clustering. In Proceedings of ICDM, Houston, Texas. , Simovici, D. , Santos, G. , & Ohno-Machado, L. (2004). A greedy algorithm for supervised discretization.

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