MIYING FUZZY SPa4TI,4L ASSOCI,4TION RULES FROM IhL4GE DATA

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" MIYING FUZZY SPa4TI,4L ASSOCI,4TION RULES FROM IhL4GE DATA "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	151146
Doc. No	:	ET22938
Main Entry	:	George Brannon Smith
Title Proper	:	MIYING FUZZY SPa4TI,4L ASSOCI,4TION RULES FROM IhL4GE DATA
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	The work of Agrawal et al. on the type of data mining known as association rulemining has been the basis for continuous research over the past seven years. Kuok,Fu and Wong have extended association rules with the fuzzy set theory of Zadehto build a system more adapted to real world data. Meanwhile Bloch has recentlyapplied this same fuzzy set theory to the area of image analysis, particularly to thetask of finding relationships between...,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL46166.pdf
Title and statement of responsibility and	:	MIYING FUZZY SPa4TI,4L ASSOCI,4TION RULES FROM IhL4GE DATA [Thesis]