Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/2076
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | JANSSENS, Davy | - |
dc.contributor.author | WETS, Geert | - |
dc.contributor.author | BRIJS, Tom | - |
dc.contributor.author | VANHOOF, Koen | - |
dc.date.accessioned | 2007-11-11T10:03:51Z | - |
dc.date.available | 2007-11-11T10:03:51Z | - |
dc.date.issued | 2005 | - |
dc.identifier.citation | INFORMATION SCIENCES, 173(4). p. 305-318 | - |
dc.identifier.issn | 0020-0255 | - |
dc.identifier.uri | http://hdl.handle.net/1942/2076 | - |
dc.description.abstract | In recent years, extensive research has been carried out by using association rules to build more accurate classifiers. The idea behind these integrated approaches is to focus on a limited subset of association rules. This paper aims to contribute to this integrated framework by adapting the Classification Based on Associations (CBA) algorithm. CBA was adapted by coupling it with another measurement of the quality of association rules: i.e. intensity of implication. The new algorithm has been implemented and empirically tested on an authentic financial dataset for purposes of bankruptcy prediction. We validated our results with an association ruleset, with C4.5, with original CBA and with CART by statistically comparing its performance via the area under the ROC-curve. The adapted CBA algorithm presented in this paper proved to generate significantly better results than the other classifiers at the 5% level of significance. (c) 2005 Elsevier Inc. All rights reserved. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCIENCE INC | - |
dc.subject.other | classification based on association rules; CBA; intensity of implication; ROC-curve; classification rules; association rules | - |
dc.title | Adapting the CBA algorithm by means of intensity of implication | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 318 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | 305 | - |
dc.identifier.volume | 173 | - |
local.format.pages | 14 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Limburgs Univ Ctr, B-3590 Diepenbeek, Belgium.Wets, G, Limburgs Univ Ctr, Univ Campus,Gebouw D, B-3590 Diepenbeek, Belgium.davy.janssens@luc.ac.be geert.wets@luc.ac.be tom.brijs@luc.ac.be koen.vanhoof@luc.ac.be | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.bibliographicCitation.oldjcat | A1 | - |
dc.identifier.doi | 10.1016/j.ins.2004.03.022 | - |
dc.identifier.isi | 000229981100003 | - |
item.contributor | JANSSENS, Davy | - |
item.contributor | WETS, Geert | - |
item.contributor | BRIJS, Tom | - |
item.contributor | VANHOOF, Koen | - |
item.validation | ecoom 2006 | - |
item.fulltext | No Fulltext | - |
item.accessRights | Closed Access | - |
item.fullcitation | JANSSENS, Davy; WETS, Geert; BRIJS, Tom & VANHOOF, Koen (2005) Adapting the CBA algorithm by means of intensity of implication. In: INFORMATION SCIENCES, 173(4). p. 305-318. | - |
crisitem.journal.issn | 0020-0255 | - |
crisitem.journal.eissn | 1872-6291 | - |
Appears in Collections: | Research publications |
SCOPUSTM
Citations
13
checked on Sep 2, 2020
WEB OF SCIENCETM
Citations
10
checked on Oct 12, 2024
Page view(s)
106
checked on Jul 31, 2023
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.