Data Mining Techniques
Summary: Database-perspective survey of data mining techniques; outlines advances in knowledge discovery in databases. Reviews core mining methods (generalization, clustering, classification, association) and visualization; covers meta-rule guided mining across relational, transactional, object-oriented, spatial, and active databases and global information systems; discusses applications and research issues. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Jiawei Han
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