DocumentCode
2547585
Title
Research on the accuracy of classification using covering based on granular computing
Author
Liu, Shuang ; Lai, Shicheng ; Zhou, Yanhong
Author_Institution
Sch. of Med. Inf., Xuzhou Med. Coll., Xuzhou, China
fYear
2012
fDate
29-31 May 2012
Firstpage
278
Lastpage
282
Abstract
Classification accuracy is a very important evaluation criterion for the method of classification and multi-label classification. In this paper, from the perspective of granular computing, we present an unified measurement criterion for the accuracy of multi-label classification method based our previous works. Then important example is illustrated to understand this evaluation criterion.
Keywords
data mining; granular computing; pattern classification; classification accuracy; granular computing; multilabel classification; unified measurement criterion; Accuracy; Conferences; Data mining; Databases; Educational institutions; Sensitivity and specificity; classification; classification accuracy; covering; granular computing; multi-label;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location
Sichuan
Print_ISBN
978-1-4673-0025-4
Type
conf
DOI
10.1109/FSKD.2012.6234070
Filename
6234070
Link To Document