DocumentCode
3007404
Title
Research on Application of Improved Association Rules Algorithm in Intelligent QA System
Author
Du, Youfu ; Zhao, Ming ; Fan, Guanjun
Author_Institution
Coll. of Comput. Sci., Yangtze Univ., Jingzhou
fYear
2008
fDate
25-26 Sept. 2008
Firstpage
414
Lastpage
417
Abstract
With increasingly prevalent of E-learning, the intelligent Q/A system arise at the historic moment. In this paper we proposed an improved text cluster algorithm, with the improved association rules algorithm, it can classify the information in the database accurately according to the questions, locate the user´s question fast and therefore speeds up the inquiry rate. The experimental result indicates that this plan has the merits of intelligence, self-renewing, and efficient Q/A and so on.
Keywords
data mining; intelligent tutoring systems; e-learning; improved association rules algorithm; improved text cluster algorithm; intelligent QA system; Association rules; Clustering algorithms; Computer applications; Data mining; Databases; Decision making; Electronic learning; Genetics; Intelligent systems; Redundancy; Association rules; E-learning; candidate item sets; weight support; weighting function;
fLanguage
English
Publisher
ieee
Conference_Titel
Genetic and Evolutionary Computing, 2008. WGEC '08. Second International Conference on
Conference_Location
Hubei
Print_ISBN
978-0-7695-3334-6
Type
conf
DOI
10.1109/WGEC.2008.74
Filename
4637475
Link To Document