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How overall coverage of class association rules affects the accuracy of the classifier?
Published on Nov 14, 201927 Views
Associative classification (AC) is a data mining approach that combines classification and association rule mining to build classification models (classifiers). Experimental results show that in avera
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Chapter list
How overall coverage of class association rules affects the accuracy of classifier00:00
Introduction00:30
Problem Statement01:41
Generating the Complete set of CARs02:37
Our proposed method03:52
Example to Our Method05:20
Step 1: Sorting the CARs05:35
Step 2: Grouping the CARs05:42
Step 3: Extracting the CARs05:56
Algorithm 207:37
Experimental Evaluation08:22
The comparison between our method and some classification algorithms - 109:41
The comparison between our method and some classification algorithms - 210:07
The comparison between our method and some classification algorithms - 311:10
The comparison between our method and some classification algorithms - 511:46
Conclusion and future work12:05
The comparison between our method and some classification algorithms- 412:38