Conventional association rule-based categorization methods have bottleneck in improving classifier's accuracy,since these methods only consider the rule confidence degree and use the pruning technique.A novel method to solve this problem is proposed,and is called associative rule-based classifier aggregating with category similarity(AACS).The method adopts the modified chi-square statistical technique to extract feature terms from each category,and employs the CR-tree to store classification rules.Algorithm...
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