Li, J. and Shen, H. and Topor, R. Mining the Smallest Association Rule Set for Predictions, In Proceedings of the IEEE International Conference on Data Mining, ICDM'01, San Jose, California, 2001.  Home/Search   Document Details and Download   Summary   Related Articles

....examples are selected. CMAR [14] uses statistical techniques to avoid bias and improve eciency by relevant data structures. The minimum subset of classi cation rules having the same prediction power (de ned by statistical measures or the con dence) as the complete class rule set is computed in [16]. Contributions. The contribution of this paper is twofold. First, we provide the simplest rules that characterize classes w.r.t. their left hand sides, i.e. a key point in classi cation. Given a rule characterizing a class, one wants that any own and proper subset of its left hand side does ....

Li, J. and Shen, H. and Topor, R. Mining the Smallest Association Rule Set for Predictions, In Proceedings of the IEEE International Conference on Data Mining, ICDM'01, San Jose, California, 2001.

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