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An efficient support filtering techniques for association rule to reduce visual clutter for parsets

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Material type: Text

TextPublication details: Faisalabad (unpublished) 2020Description: xiii, 59 p. : ill. ; 30 cmSubject(s):

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Dissertation note: Thesis (M.Phil.)--Riphah International University, 2020

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Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Thesis	Faisalabad Campus	004 ZAB (Browse shelf(Opens below))	1	Not for loan		77441

A thesis submitted in the partial fulfillment of the requirements for the degree of Master of Science to the Faculty of Computing.

Thesis supervisor: Dr. M Sheraz Arshad Malik

Includes bibliographical references and appendix.

Thesis (M.Phil.)--Riphah International University, 2020

English

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