Document Server@UHasselt >
Research publications >
Please use this identifier to cite or link to this item:
|Title: ||Dilated Chi-square: a novel interestingness measure to build accurate and compact decision list|
|Authors: ||Lan, Y.|
|Issue Date: ||2004|
|Citation: ||Shi, Z & He, Q (Ed.) INTELLIGENT INFORMATION PROCESSING II. p. 233-238.|
|Series/Report: ||INTERNATIONAL FEDERATION FOR INFORMATION PROCESSING, 163|
|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 classification 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.|
|ISI #: ||000225784400030|
|Type: ||Proceedings Paper|
|Validation: ||ecoom, 2006|
|Appears in Collections: ||Research publications|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.