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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
Citation: 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.
URI: http://hdl.handle.net/1942/14638
DOI: 10.1007/0-387-23152-8_30
ISBN: 978-0-387-23151-8
Category: B2
Type: Book Section
Validation: vabb, 2015
Appears in Collections: Research publications

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