DocumentCode
2557488
Title
Hierarchical classification using a Competitive Neural Network
Author
Borges, Helyane Bronoski ; Nievola, Julio Cesar
fYear
2012
fDate
29-31 May 2012
Firstpage
172
Lastpage
177
Abstract
Hierarchical classification is a problem with application in many areas. Therefore, it makes the development of algorithms able to induce hierarchical classification models. This paper presents an algorithm for hierarchical classification using the global approach, called Hierarchical Classification using a Competitive Neural Network (HC-CNN). It was tested on some datasets from the bioinformatics field and the results are promising.
Keywords
data mining; neural nets; HC-CNN; bioinformatics field; competitive neural network; global approach; hierarchical classification models; Artificial neural networks; Classification algorithms; Equations; Neurons; Prediction algorithms; Training; Competitive Neural Network; Global Classifier; Hierarchical Classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2012 Eighth International Conference on
Conference_Location
Chongqing
ISSN
2157-9555
Print_ISBN
978-1-4577-2130-4
Type
conf
DOI
10.1109/ICNC.2012.6234573
Filename
6234573
Link To Document