A Performance Evaluation of Chi-Square Pruning Techniques in Class Association Rules Optimization
Associative classification is recognized by its high accuracy and strong flexibility in managing unstructured data. However, the performance is still induced by low quality dataset which comprises of noised and distorted data during data collection. The noisy data affected support value of an itemse...
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| Format: | Article |
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Springer Verlag
2018
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| Online Access: | http://scholars.utp.edu.my/id/eprint/21914/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029598698&doi=10.1007%2f978-3-319-67621-0_18&partnerID=40&md5=68d8481b92f9b67593940bb6869e206e |
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