GAMInG -- a framework for generalization of association mining via information granulation Rather than finding new association-mining types one at a time, in this paper, we propose a framework, which is called Generalization of Association Mining via Information Granulation (GAMInG), based on which new association-mining types capable of discovering new patterns hidden in data can be systematically defined.
References in zbMATH (referenced in 2 articles , 1 standard article )
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- Tsumoto, Shusaku (ed.); Słowiński, Roman (ed.); Komorowski, Jan (ed.); Grzymala-Busse, Jerzy W. (ed.): Rough sets and current trends in computing. 4th international conference, RSCTC 2004, Uppsala, Sweden, June 1--5, 2004. Proceedings. (2004)
- Xie, Ying; Raghavan, Vijay V.: GAMInG -- a framework for generalization of association mining via information granulation (2004)