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
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;
Conference_Titel :
Genetic and Evolutionary Computing, 2008. WGEC '08. Second International Conference on
Conference_Location :
Hubei
Print_ISBN :
978-0-7695-3334-6
DOI :
10.1109/WGEC.2008.74
