DocumentCode
2626657
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
fYear
2010
fDate
26-28 Aug. 2010
Firstpage
11
Lastpage
18
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICCP.2010.5606468
Filename
5606468
Link To Document