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Text document clustering based on neighbors

, , and . Data & Knowledge Engineering, 68 (11): 1271 - 1288 (2009)Including Special Section: Conference on Privacy in Statistical Databases (PSD 2008) - Six selected and extended papers on Database Privacy.
DOI: 10.1016/j.datak.2009.06.007

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Efficient mining of maximal frequent itemsets from databases on a cluster of workstations., and . Knowl. Inf. Syst., 16 (3): 359-391 (2008)Distributed Mining of Maximal Frequent Itemsets on a Data Grid System., , and . J. Supercomput., 37 (1): 71-90 (2006)Distributed mining of maximal frequent itemsets from databases on a cluster of workstations., and . CCGRID, page 499-507. IEEE Computer Society, (2004)Parallel Mining of Maximal Frequent Itemsets from Databases., and . ICTAI, page 134-. IEEE Computer Society, (2003)Text Clustering with Feature Selection by Using Statistical Data., , and . IEEE Trans. Knowl. Data Eng., 20 (5): 641-652 (2008)A parallel text document clustering algorithm based on neighbors., , and . Clust. Comput., 18 (2): 933-948 (2015)Text document clustering based on neighbors, , and . Data & Knowledge Engineering, 68 (11): 1271 - 1288 (2009)Including Special Section: Conference on Privacy in Statistical Databases (PSD 2008) - Six selected and extended papers on Database Privacy.Weighted naïVE Bayes for Text Classification Using positive Term-Class Dependency., , and . Int. J. Artif. Intell. Tools, (2012)Parallel mining of maximal sequential patterns using multiple samples., and . J. Supercomput., 59 (2): 852-881 (2012)A scalable algorithm for mining maximal frequent sequences using a sample., and . Knowl. Inf. Syst., 15 (2): 149-179 (2008)