Knowledge Discovery and Interestingness Measures: A Survey
作者： Robert James Hilderman , Howard John Hamilton
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摘要: Knowledge discovery in databases, also known as data mining, is the efficient of previously unknown, valid, novel, potentially useful, and understandable patterns large databases. It encompasses many different techniques algorithms which differ kinds that can be analyzed form knowledge representation used to convey discovered knowledge. An important problem area mining development effective measures interestingness for ranking In this report, we provide a general overview more successful widely algorithms, survey seventeen from literature have been successfully employed applications.
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