A novel statistical method on decision table analysis

Authors:
Ling Wei;Wen-xiu Zhang
Affiliations:
Department of Mathematics, Northwest University, Xi'an, P.R China;Faculty of Science, Institute for Information and System Sciences, Xi'an Jiaotong University, Xi'an, P.R China
Venue:
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Year:
2004

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Abstract

Nonparametric methods in statistics is introduced to analyze decision tables First, the raw decision table is translated to a series of corresponding contingency tables between each condition attribute and the decision attribute, and then, dependence significance testing is finished to make sure if a condition attribute is correlated with the decision Finally, we get the reduct of decision table at a special significance level, as well as all the first-order rules Our experiments show that the nonparametric statistical method we proposed is feasible and efficiently.