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内容説明
This book constitutes the refereed proceedings of the 5th International Conference on Machine Learning and Data Mining in Pattern Recognition， MLDM 2007， held in Leipzig， Germany， in July 2007. The 66 revised full papers presented together with one invited talk were carefully reviewed and selected from 258 submissions. The papers are organized in topical sections on classification; feature selection， extraction and dimensionality reduction; clustering; support vector machines; transductive inference; association rule mining; mining spam， newsgroups， blogs; intrusion detection and networks; frequent and common item set mining; mining marketing data; structural data mining; image mining; medical， biological， and environmental data mining; as well as text and document mining.