DOMAIN-SPECIFIC KNOWLEDGE-BASED INFORMATION RETRIEVAL MODEL USING KNOWLEDGE REDUCTION

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" DOMAIN-SPECIFIC KNOWLEDGE-BASED INFORMATION RETRIEVAL MODEL USING KNOWLEDGE REDUCTION "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	148462
Doc. No	:	ET20254
Main Entry	:	CHANGWOO YOON
Title Proper	:	DOMAIN-SPECIFIC KNOWLEDGE-BASED INFORMATION RETRIEVAL MODEL USING KNOWLEDGE REDUCTION
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	Information is a meaningful collection of data. Information retrieval (IR) is animportant tool for changing data into information. Of the three classical IR models(Boolean, Support Vector Machine, and Probabilistic), the Support Vector Machine(SVM) IR model is most widely used. But the SVM IR classical model does not conveysufficient relevancy between a query and documents to produce effective results.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL43380.pdf
Title and statement of responsibility and	:	DOMAIN-SPECIFIC KNOWLEDGE-BASED INFORMATION RETRIEVAL MODEL USING KNOWLEDGE REDUCTION [Thesis]