00843nam a2200169 4500040003600000082001300036100003300049245010500082260003800187300003700225500013600262500004900398500005600447502006100503546001300564650009600577 cRiphah International University a004bZAB aZaib Un Nisa (S18A14G05014) aAn efficient support filtering techniques for association rule to reduce visual clutter for parsets aFaisalabad b(unpublished) c2020 axiii, 59 p. b: ill. c; 30 cm.  aA thesis submitted in the partial fulfillment of the requirements for the degree of Master of Science to the Faculty of Computing.  aThesis supervisor: Dr. M Sheraz Arshad Malik aIncludes bibliographical references and appendix.  aThesis (M.Phil.)--Riphah International University, 2020  aEnglish  aComputer sciences aVisualization techniquesvAlgorithmsvRegression analysisvMushroomvFC