Title :
Using rough set theory to construct e-learning faq retrieval infrastructure
Author :
Chiu, Deng-Yiv ; Pan, Ya-Chen ; Chang, Wen-Chih
Author_Institution :
Dept. of Inf. Manage., Chung Hua Univ., Hsinchu
fDate :
July 31 2008-Aug. 1 2008
Abstract :
We propose a framework of e-learning FAQ (frequently asked questions) retrieval system by applying hierarchical agglomerative clustering method and rough set theory. We try to provide a possible solution to improve the learning performance of e-Learning system. The clustering method and FAQ collection are used to construct a FAQ clustering concept hierarchy. Then, we use lower/upper approximations in rough set theory to classify userspsila queries. The rough set theory can help solve uncertain problem well. Finally, the relevant FAQs for the user query are generated. The relevant FAQs are those in the cluster to which the user query is assigned.
Keywords :
computer aided instruction; distance learning; information retrieval; pattern clustering; rough set theory; FAQ clustering concept hierarchy; clustering method; e-learning FAQ retrieval infrastructure; frequently asked questions; hierarchical agglomerative clustering method; rough set theory; Clustering methods; Data mining; Education; Electronic learning; IP networks; Information management; Information retrieval; Set theory; Space technology; Training data; Concept hierarchy; Frequently asked questions; Hierarchical agglomerative clustering method; Rough set theory; e-learning;
Conference_Titel :
Ubi-Media Computing, 2008 First IEEE International Conference on
Conference_Location :
Lanzhou
Print_ISBN :
978-1-4244-1865-7
Electronic_ISBN :
978-1-4244-1866-4
DOI :
10.1109/UMEDIA.2008.4570951
