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	Wu, Xindong     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending Date Reviewed     1 - 5 of 5 reviews       The top ten algorithms in data mining Wu X. (ed), Kumar V. (ed), Chapman & Hall/CRC, Boca Raton, FL, 2009. 208 pp.  Type: Book (9781420089646), Reviews: (2 of 2) As the saying goes, “Torture the data long enough, and it will confess to anything.” With such a view, it is easy to see why I approach data mining with careful skepticism. Part of this skepticism comes from the fac...... Sep 11 2009     The top ten algorithms in data mining Wu X. (ed), Kumar V. (ed), Chapman & Hall/CRC, Boca Raton, FL, 2009. 208 pp.  Type: Book (9781420089646), Reviews: (1 of 2) I found this book highly original in both content and concept. The origins of the book are very simple and genuine. Wu and Kumar asked several top scientists to nominate the top ten best-known data mining algorithms. After several inte...... Aug 14 2009     Knowledge discovery in multiple databases Zhang S., Zhang C. (ed), Wu X. (ed), SpringerVerlag, 2004.  Type: Book (9781852337032) Knowledge discovery (namely, data mining) involving multiple databases can be tricky. Information can be lost when databases are brought together, and information patterns in individual databases might no longer appear to be useful on ...... Oct 27 2004     Efficient mining of both positive and negative association rules Wu X. (ed), Zhang C. (ed), Zhang S. ACM Transactions on Information Systems 22(3): 381-405, 2004.  Type: Article Association rule mining is used to discover the relationships between items in a large database. The relationship, in general, shows that the occurrence of an item set would imply the occurrence of another item set. The wide applicabil...... Sep 10 2004     Rule induction with extension matrices Wu X. (ed) Journal of the American Society for Information Science 49(5): 435-454, 1998.  Type: Article Wu describes a heuristic, attribute-based, noise-tolerant data mining program based on the extension matrix approach. Given n negative examples and p positive examples, where each example has ... Jul 1 1998
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