A hybrid text classification approach with low dependency on parameter by integrating K-nearest neighbor and support vector machine

Author:

Wan Chin Heng,Lee Lam Hong,Rajkumar Rajprasad,Isa Dino

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference51 articles.

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3. Apte, C., Damerau, F., & Weiss, S. M. (1994b). Towards language independent automated learning of text categorization models. In Proceedings of the 17th annual international ACM-SIGIR conference on research and development in information retrieval, pp. 23–30.

4. Blanzieri, E. & Bryl, A. (2007a). Instance-based spam filtering using SVM nearest neighbor classifier. In Proceedings of the 20th international florida artificial intelligence research society conference, May 7–9, Key West, Florida, USA, pp. 441–442.

5. Blanzieri, E. & Bryl, A. (2007b). Evaluation of the highest probability SVM nearest neighbor classifier with variable relative error cost. In Proceedings of the 4th conference on email and anti-spam, Aug. 2–3, Mountain View, California, USA., pp. 5–9.

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