Applying genetic algorithms to query optimization in document retrieval

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Computer Science and Information Engineering > journal & Dissertation > Item 987654321/32302

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/32302

Title:	Applying genetic algorithms to query optimization in document retrieval
Authors:	Horng,JT;Yeh,CC
Contributors:	資訊工程研究所
Keywords:	TEXT CATEGORIZATION
Date:	2000
Issue Date:	2010-07-06 18:23:34 (UTC+8)
Publisher:	中央大學
Abstract:	This paper proposes a novel approach to automatically retrieve keywords and then uses genetic algorithms to adapt the keyword weights. One of the contributions of the paper is to combine the Bigram (Chen, A., He, J., Xu, L., Gey, F. C., & Meggs, J. 1997.
Relation:	INFORMATION PROCESSING & MANAGEMENT
Appears in Collections:	[Graduate Institute of Computer Science and Information Engineering] journal & Dissertation

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