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An efficient support filtering techniques for association rule to reduce visual clutter for parsets - Faisalabad (unpublished) 2020 - xiii, 59 p. : ill.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An efficient support filtering techniques for association rule to reduce visual clutter for parsets - Faisalabad (unpublished) 2020 - xiii, 59 p. : ill.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