DocumentCode
686342
Title
Mining high fuzzy utility sequential patterns
Author
Guo-Cheng Lan ; Tzung-Pei Hong ; Hsin-Cheng Huang ; Shing-Tai Pan
Author_Institution
Dept. of Math. & Comput. Sci., Normal Univ., Fuzhou, China
fYear
2013
fDate
6-8 Dec. 2013
Firstpage
420
Lastpage
424
Abstract
This work handles fuzzy utility sequential pattern mining, which applies the fuzzy set concept to find interesting high utility sequential patterns with linguistic meaning. In particular, a new fuzzy utility function is developed to evaluate the linguistic benefit of a pattern in a sequence, and an effective approach is developed to find high fuzzy utility sequential patterns from a quantitative sequence database. The experimental results show the proposed approach has good performance under various parameter settings.
Keywords
data mining; database management systems; fuzzy set theory; fuzzy set concept; high fuzzy utility sequential pattern mining; linguistic benefit; linguistic meaning; quantitative sequence database; Computer science; Data mining; Educational institutions; Itemsets; Manganese; Pragmatics; Data mining; fuzzy set; high utility; projection technique; sequential pattern;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Theory and Its Applications (iFUZZY), 2013 International Conference on
Conference_Location
Taipei
Type
conf
DOI
10.1109/iFuzzy.2013.6825476
Filename
6825476
Link To Document