By Han J., Chiang J.Y., Chee S.
An information mining process, DBMiner, has been constructed for interactive mining of multiple-level wisdom in huge relational databases and information warehouses. The method implements a large spectrum of information mining services, together with characterization, comparability, organization, category, prediction, and clustering. by way of incorporating a number of fascinating info mining ideas, together with OLAP and attribute-oriented induction, statistical research, innovative deepening for mining multiple-level wisdom, and meta-rule guided mining, the process offers a effortless, interactive facts mining surroundings with strong functionality.
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