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In this article, the rough set theory as the core algorithm combined with data pretreatment made up for its lack of itself, determine interest in degrees by using of analysis of confidence and support. Finally, establishment of the discernibility matrix, reduction of attributes and knowledge display by JAVA language combined with JAVA and MYSQL establish the typical JSP database applications. Intelligence...
Associative classification has high classification accuracy and strong flexibility. However, it still suffers from overfitting since the classification rules satisfied both minimum support and minimum confidence are returned as strong association rules back to the classifier. In this paper, we propose a new association classification method based on compactness of rules, it extends Apriori Algorithm...
Association rule mining is one of the most important and basic technique in data mining, which has been studied extensively and has a wide range of applications. Two stream of previous work has dealt with the discovery of association rules over multiple relations: prolog databases and datalog queries. The MRI Iceberg-cubes mining method introduces a new perspective. However, it does not take the cyclic...
The solution to semantic heterogeneity of the integrated data is a key point in the integration of heterogeneous databases. To aim at adding semantic information to tables and fields in relational databases, a semantic annotation method was developed. The method integrates many different string similarity algorithms to improve similarity algorithms. Firstly, extracting implicit semantic information...
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