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Identifying Global Exceptional Patterns in (2004)  (Make Corrections)  
Multi-database Mining Chengqi Zhang, Meiling Liu, Wenlong Nie, and Shichao ...



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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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