Knowledge Discovery in Multiple Databases

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The book addresses the pressing challenge of efficiently mining distributed data across multiple databases, particularly in the context of the overwhelming information available on the Web. It introduces local pattern analysis, a novel approach designed to uncover valuable patterns that traditional methods may overlook. The authors discuss advancements in multi-database mining, including hierarchical meta-learning and database classification, making it a vital resource for researchers and students in data mining and machine learning, as well as a useful supplement for related courses.