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Rule Extraction on Numeric Datasets Using Hyper-rectangles
2012
Computer and Information Science
When there is a need to understand the data stored in a database, one of the main requirements is being able to extract knowledge in the form of rules. Classification strategies allow extracting rules almost naturally. In this paper, a new classification strategy is presented that uses hyper-rectangles as data descriptors to achieve a model that allows extracting knowledge in the form of classification rules. The participation of an expert for training the model is discussed. Finally, the
doi:10.5539/cis.v5n4p116
fatcat:q5ts7d7s6jek3juou3qsp24nea