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Abstract: In multi-database mining, there can be many local patterns (frequent itemsets or association rules) in each database. At the end of multi-database mining, it is necessary to analyze these local patterns to gain global patterns, when putting all the data from the databases into a single dataset can destroy important information that reflect the distribution of global patterns. This paper develops an algorithm for synthesizing local patterns in multi-database is proposed. This approach is... (Update)
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BibTeX entry: (Update)
@misc{ chengqi-identifying,
author = "Multi-Database Mining Chengqi",
title = "Identifying Global Exceptional Patterns in",
url = "citeseer.ist.psu.edu/728298.html" }
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