Deductive Data Mining using Granular Computing
نویسنده
چکیده
What is Deductive Data Mining (DDM)? It is a methodology that derives patterns from the mathematical structure of the stored data. Among three core techniques of data mining [1], classifications and association rule mining are deductive data mining, while clustering is not, because its algorithms often use some properties of the ambient space. What is Granular Computing (GrC)? In general, it is a problem solving methodology deeply rooted in human thinking. For example, human body is granulated into head, neck, and etc. However, the main concerns here are on data mining aspect of GrC. Two views are presented, one is based on current technology, and the other is the incremental approaches to the ultimate goal.
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