Title :
Hierarchical classification using a Competitive Neural Network
Author :
Borges, Helyane Bronoski ; Nievola, Julio Cesar
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;
Conference_Titel :
Natural Computation (ICNC), 2012 Eighth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4577-2130-4
DOI :
10.1109/ICNC.2012.6234573
