A Novel Algorithm for Imbalance Data Classification Based on Neighborhood Hypergraph
Joint Authors
Hu, Feng
Dai, Jin
Liu, Xiao
Yu, Hong
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-11
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
The classification problem for imbalance data is paid more attention to.
So far, many significant methods are proposed and applied to many fields.
But more efficient methods are needed still.
Hypergraph may not be powerful enough to deal with the data in boundary region, although it is an efficient tool to knowledge discovery.
In this paper, the neighborhood hypergraph is presented, combining rough set theory and hypergraph.
After that, a novel classification algorithm for imbalance data based on neighborhood hypergraph is developed, which is composed of three steps: initialization of hyperedge, classification of training data set, and substitution of hyperedge.
After conducting an experiment of 10-fold cross validation on 18 data sets, the proposed algorithm has higher average accuracy than others.
American Psychological Association (APA)
Hu, Feng& Liu, Xiao& Dai, Jin& Yu, Hong. 2014. A Novel Algorithm for Imbalance Data Classification Based on Neighborhood Hypergraph. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1051452
Modern Language Association (MLA)
Hu, Feng…[et al.]. A Novel Algorithm for Imbalance Data Classification Based on Neighborhood Hypergraph. The Scientific World Journal No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1051452
American Medical Association (AMA)
Hu, Feng& Liu, Xiao& Dai, Jin& Yu, Hong. A Novel Algorithm for Imbalance Data Classification Based on Neighborhood Hypergraph. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1051452
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051452