Titlebook: Knowledge Discovery in Databases: PKDD 2005; 9th European Confere Alípio Mário Jorge,Luís Torgo,João Gama Conference proceedings 2005 Sprin

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Improving Generalization by Data Categorizationuite different nature, they give similar and reasonable categorization. Results with real-world datasets further demonstrate that treating the three data categories differently in learning can improve generalization.

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0302-9743 s (PKDD) were jointly organized this year for the ?fth time in a row, after some years of mutual independence before. After Freiburg (2001), Helsinki (2002), Cavtat (2003) and Pisa (2004), Porto received the 16th edition of ECML and the 9th PKDD in October 3–7. Having the two conferences together se

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Focus the Mining Beacon: Lessons and Challenges from the World of E-Commercee present important lessons and challenges using e-commerce examples across two dimensions: (i) business-level to technical, and (ii) the mining lifecycle from data collection, data warehouse construction, to discovery and deployment. Many of the lessons and challenges are applicable to domains outside e-commerce.

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Cluster Aggregate Inequality and Multi-level Hierarchical Clusteringsion of clusters can be translated into kNN consistency which is guaranteed by the multi-level algorithm; (3) For similarity-based linkage functions, the multi-level algorithm is naturally implemented as graph contraction. The effectiveness of our algorithms is demonstrated on a number of real life applications.

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A Correspondence Between Maximal Complete Bipartite Subgraphs and Closed Patterns subgraph, there always exists a unique pair of closed patterns that matches the two vertex sets of the subgraph. Therefore, we can enumerate all maximal complete bipartite subgraphs by using efficient algorithms for mining closed patterns which have been extensively studied in the data mining field.

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