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2002

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Parametric Optimization In Data Mining Incorporated With Ga-Based Search, L Tan, D Taniar, K Smith Dec 2001

Parametric Optimization In Data Mining Incorporated With Ga-Based Search, L Tan, D Taniar, K Smith

Dr Ling Tan

A number of parameters must be specified for a data-mining algorithm. Default values of these parameters are given and generally accepted as ‘good’ estimates for any data set. However, data mining models are known to be data dependent, and so are for their parameters. Default values may be good estimates, but they are often not the best parameter values for a particular data set. A tuned set of parameter values is able to produce a data-mining model of better classification and higher prediction accuracy. However parameter search is known to be expensive. This paper investigates GA-based heuristic techniques in a …