Associative Classification Approaches: Review and Comparison
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DOI: 10.1142/S0219649214500270
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Cited by:
- Said Baadel & Joan Lu, 2019. "Data Analytics: Intelligent Anti-Phishing Techniques Based on Machine Learning," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 1-17, March.
- Chanchala Hathurusingha & Neda Abdelhamid & David Airehrour, 2019. "Forecasting Models Based on Data Analytics for Predicting Rice Price Volatility: A Case Study of the Sri Lankan Rice Market," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 1-20, March.
- Majed Rajab, 2019. "Visualisation Model Based on Phishing Features," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 1-17, March.
- Fadi Thabtah & Firuz Kamalov, 2017. "Phishing Detection: A Case Analysis on Classifiers with Rules Using Machine Learning," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 1-16, December.
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Keywords
Associative classification; classification; data mining; rule learning; rule sorting; pruning; prediction;All these keywords.
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