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In multi-database there are four category patterns which refer to frequent itemsets or association rules. Exception rules have been defined as rules with low support and high confidence. Exceptional patterns reflect the individuality of branches and provide valuable knowledge about database patterns, so it is very important to make special policies for(More)
The increasing use of multi-database technology has led to the development of many multi-database systems for real-world application. Large companies may have to confront the multiple data-source problem,so multi-database mining has been an important research area. Negative association rules (NARs) play important roles in decision-making. But nowadays the(More)
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