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...
| Main Authors: | Chern-Tong, H., Aziz, I.A. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.21914 / |
| Published: |
Springer Verlag
2018
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| Online Access: |
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 http://eprints.utp.edu.my/21914/ |
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