UM
One versus one multi-class classification fusion using optimizing decision directed acyclic graph for predicting listing status of companies
Zhou, Ligang; Wang, Qingyang; Fujita, Hamido
2017-07
Source PublicationINFORMATION FUSION
ISSN1566-2535
Volume36Pages:80-89
AbstractMost existing research has demonstrated the success of different decomposition and ensemble strategies for solving multi-class classification problems. This study proposes a new ensemble strategy for One vs -One (OVO) scheme that uses optimizing decision directed acyclic graph (ODDAG) whose structure is determined by maximizing the fitness on the training set instead of by predefined rules. It makes an attempt to reduce the effect of non-competent classifiers in OVO scheme like decision directed acyclic graph (DDAG) but in another way. We test the proposed method on some public data sets and compare it to some other widely used methods to select the proper candidates and related settings for a problem with practical concern from financial industry in China, i.e. the prediction of listing status of companies. The experimental result shows that our model can outperform the benchmarked methods on this real problem. In addition, the ODDAG combined with decision tree is a white box model whose internal rules can be viewed and checked by decision makers. (C) 2016 Elsevier B.V. All rights reserved.
KeywordMulti-class classification One versus one Listing status Prediction Decision directed acyclic graph Optimizing
DOI10.1016/j.inffus.2016.11.009
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000394070100006
PublisherELSEVIER SCIENCE BV
The Source to ArticleWOS
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Citation statistics
Cited Times [WOS]:13   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Recommended Citation
GB/T 7714
Zhou, Ligang,Wang, Qingyang,Fujita, Hamido. One versus one multi-class classification fusion using optimizing decision directed acyclic graph for predicting listing status of companies[J]. INFORMATION FUSION,2017,36:80-89.
APA Zhou, Ligang,Wang, Qingyang,&Fujita, Hamido.(2017).One versus one multi-class classification fusion using optimizing decision directed acyclic graph for predicting listing status of companies.INFORMATION FUSION,36,80-89.
MLA Zhou, Ligang,et al."One versus one multi-class classification fusion using optimizing decision directed acyclic graph for predicting listing status of companies".INFORMATION FUSION 36(2017):80-89.
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