Importance of Multi-Database Mining Data Mining and Multi-Database Mining Local Pattern Analysis Identifying Quality Knowledge Database Clustering Dealing with Inconsistency Identifying High-Vote Patterns Identifying Exceptional Patterns Synthesizing Global Patterns from Local Patterns by Weighting Conclusions and Future Work
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From the reviews:
"The book contains the latest on research in database multi-mining (32 papers published after 2000) and offers for consideration a local-pattern analysis framework for pattern discovery from multiple data sources. Starting from the local pattern in multiple data bases, the authors propose ... a new pattern named ‘high-vote’ pattern based on statistical analysis of vote ratio received by a pattern from each branch of the company." (Silviu Craciunas, Zentralblatt MATH, Vol. 1067, 2005)
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