DocumentCode
536949
Title
An Incomplete Data Classification Model Based on Relaxed Conservative Inference Rule
Author
Qi, Rui-hua ; Yang, De-li
Author_Institution
Modern Educ. Technol. Center, Dalian Univ. of Foreign Language, Dalian, China
fYear
2010
fDate
7-9 Nov. 2010
Firstpage
1
Lastpage
4
Abstract
Aiming to increase the proportion of the samples that has been determinate classified in Naive Credal Classifier, this paper improves conservative inference rule and proposes an incomplete data classification model based on relaxed conservative inference rule. Simulation results of comparative experiment with Naive Bayesian Classifier and Naive Credal Classifier verify the effectiveness of this classification model.
Keywords
data mining; inference mechanisms; pattern classification; incomplete data classification model; naive Bayesian classifier; naive Credal classifier; relaxed conservative inference rule; Accuracy; Classification algorithms; Data mining; Data models; Estimation; Robustness; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location
Henan
Print_ISBN
978-1-4244-7159-1
Type
conf
DOI
10.1109/ICEEE.2010.5660793
Filename
5660793
Link To Document