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Algorithm for classification based on positive and negative class association rules
2010
2010 3rd International Conference on Computer Science and Information Technology
The negative class association rules are important to build accurate and efficient classifiers. Despite a great deal of research, a number of challenges still exist. In order to solve the problem of "difficult to build precise classifier", the paper presents a new algorithm for classification which integrates positive class association rules and negative class association rules. The algorithm applies Apriori method and correlation between itemsets and class labels to compute all positive and
doi:10.1109/iccsit.2010.5564641
fatcat:dzjk6c3b3rafbn5z74tm2gyr6y