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First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)
Marketing Audit Value Model Based on Rough Set and Support Vector Regression Machine
Adelaide, Australia
January 23-January 24
ISBN: 0-7695-3090-7
This study applies a new model based on rough set and support vector regression machine to enterprises? marketing audit value. To improve the efficiency, rough set was used to reduce the number of indexes. To improve the precision, the support vector regression machine was used. Then, the marketing audit value data of several companies were analyzed and 21 main indexes of marketing audit value were used. The experimental results demonstrate that the new method based on rough set and support vector regression machine has better precision than artificial neural network method and is more efficient than pure support vector regression machine method.
Citation:
Cheng Che, Shan Ao, Shoulian Tang, "Marketing Audit Value Model Based on Rough Set and Support Vector Regression Machine," wkdd, pp.201-204, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008
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