Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/14638
Title: Dilated Chi-Square : a novel interestingness measure to build accurate and compact decion list
Authors: Lan, Yu
JANSSENS, Davy 
Chen, Guoqing
WETS, Geert 
Issue Date: 2005
Publisher: Springer
Source: He, Qing; Zhongzhi, Shi (Ed.). Intelligent Information Processing II, p. 233-237
Abstract: Associative classification has aroused significant attention in recent years. This paper proposed a novel interestingness measure, named dilated chi-square, to statistically reveal the interdependence between the antecedents and the consequent of classificaton rules. Using dilated chi-square, instead of confidence, as the primary ranking criterion for rules under the framework of popular CBA algorithm, the adapted algorithm presented in this paper can empirically generate more accurate and much more compact decision lists.
Keywords: dilated chi-square; associative classification; CBA
Document URI: http://hdl.handle.net/1942/14638
ISBN: 978-0-387-23151-8
DOI: 10.1007/0-387-23152-8_30
Category: B2
Type: Book Section
Validations: vabb 2015
Appears in Collections:Research publications

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