Zaib Un Nisa (S18A14G05014)

An efficient support filtering techniques for association rule to reduce visual clutter for parsets - Faisalabad (unpublished) 2020 - xiii, 59 p. : ill. ; 30 cm.

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


Computer sciences
Visualization techniques--Algorithms--Regression analysis--Mushroom--FC

004 / ZAB