A two-phase fuzzy mining and learning algorithm for adaptive learning environment

dc.citation.epage	438	en_US
dc.citation.spage	429	en_US
dc.citation.volume	2074	en_US
dc.contributor.author	Tsai, CJ	en_US
dc.contributor.author	Tseng, SS	en_US
dc.contributor.author	Lin, CY	en_US
dc.contributor.department	資訊工程學系	zh_TW
dc.contributor.department	Department of Computer Science	en_US
dc.date.accessioned	2014-12-08T15:44:21Z
dc.date.available	2014-12-08T15:44:21Z
dc.date.issued	2001	en_US
dc.description.abstract	As computer-assisted instruction environment becomes more popular over the world, the analysis of historical learning records of students becomes more important. In this work, we propose a Two-Phase Fuzzy Mining and Learning Algorithm, integrating data mining algorithm, fuzzy set theory, and look ahead mechanism, to find the embedded information, which can be provided to teachers for further analyzing, refining or reorganizing the teaching materials and tests, from historical learning records.	en_US
dc.identifier.isbn	3-540-42233-1	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.journal	COMPUTATIONAL SCIENCE -- ICCS 200, PROCEEDINGS PT 2	en_US
dc.identifier.uri	https://ir.lib.nycu.edu.tw/handle/11536/29955
dc.identifier.wosnumber	WOS:000227039400047
dc.language.iso	en_US	en_US
dc.subject	fuzzy set theory	en_US
dc.subject	data mining	en_US
dc.subject	machine learning	en_US
dc.subject	CAI	en_US
dc.title	A two-phase fuzzy mining and learning algorithm for adaptive learning environment	en_US
dc.type	Article; Proceedings Paper	en_US

Files

Now showing 1 - 1 of 1