Title :
Evidence combination for baseline accuracy determination
Author :
Muresan, Rusalca Flavia ; Lemnaru, Camelia ; Potolea, Rodica
Author_Institution :
Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
Abstract :
In the field of data mining, one of the main objectives is to achieve the highest possible classification accuracy. This paper presents a classifier fusion system based on the principles of the Dempster-Shafer theory of evidence combination. It allows one to combine evidence from different sources and arrive at a degree of belief (represented by a belief function) that takes into account all the available evidence.
Keywords :
data mining; inference mechanisms; pattern classification; Dempster-Shafer theory; baseline accuracy determination; classifier fusion system; data mining; evidence combination; Accuracy; Artificial neural networks; Classification algorithms; Decision trees; Niobium; Prediction algorithms; Uncertainty;
Conference_Titel :
Intelligent Computer Communication and Processing (ICCP), 2010 IEEE International Conference on
Conference_Location :
Cluj-Napoca
Print_ISBN :
978-1-4244-8228-3
Electronic_ISBN :
978-1-4244-8230-6
DOI :
10.1109/ICCP.2010.5606468
