Learning Interestingness of Streaming Classification Rules

Author:

Aydin Tolga,Güvenir Halil Altay

Publisher

Springer Berlin Heidelberg

Reference11 articles.

1. Fayyad, U., Shapiro, G., Smyth, P.: From data mining to knowledge discovery in databases. AI Magazine 17(3), 37–54 (1996)

2. Hilderman, R.J., Hamilton, H.J.: Knowledge discovery and interestingness measures: a survey. Technical Report, Department of Computer Science, University of Regina (1999)

3. Frawely, W.J., Piatetsky-Shapiro, G., Matheus, C.J.: Knowledge discovery in databases: an overview. In: Knowledge Discovery in Databases, pp. 1–27. AAAI/MIT Press (1991)

4. Major, J.A., Mangano, J.J.: Selecting among rules induced from a hurricane database. In: Proceedings of AAAI Workshop on Knowledge Discovery in Databases, pp. 30–31 (1993)

5. Piatetsky-Shapiro, G., Matheus, C.J.: The interestingness of deviations. In: Proceedings of AAAI Workshop on Knowledge Discovery in Databases, pp. 25–36 (1994)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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

2. Modeling Interestingness of Streaming Classification Rules as a Classification Problem;Artificial Intelligence and Neural Networks;2006

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