Modeling Interestingness of Streaming Classification Rules as a Classification Problem

Author:

Aydın Tolga,Güvenir Halil Altay

Publisher

Springer Berlin Heidelberg

Reference7 articles.

1. Güvenir, H.A.: Benefit Maximization in Classification on Feature Projections. In: Proceedings of the 3rd IASTED International Conference on Artificial Intelligence and Applications (AIA 2003), pp. 424–429 (2003)

2. Klemettinen, M., Mannila, H., Ronkainen, P., Toivonen, H., Verkamo, A.I.: Finding interesting rules from large sets of discovered association rules. In: Proceedings of the 3rd Int. Conf. on Information and Knowledge Management, pp. 401–407 (1994)

3. Liu, B., Hsu, W., Chen, S.: Using general impressions to analyze discovered classification rules. In: Proceedings of the 3rd Int. Conf. on KDD, pp. 31–36 (1997)

4. Liu, B., Hsu, W.: Post-analysis of learned rules, pp. 828–834. AAAI Press, Menlo Park (1996)

5. Lecture Notes in Computer Science;F. Hussain,2000

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1. Classification Rule Mining for a Stream of Perennial Objects;Rule-Based Reasoning, Programming, and Applications;2011

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