01516nam a2200253 a 4500 vtls000067835 KUKTEM 20251114204532.0 121219t2012 my da f m 000 0 eng d THE0002011(Local) 201905131603 yusri 201401220917 Fida 201401220917 Fida 201212191030 Fida UMP QA278 .A45 2012 rs Bc. Mohd Amirol Redzuan Mat Rofi Data clustering using max-max roughness and its application to cluster patients suspected heart disease / Mohd Amirol Redzuan Mat Rofi Kuantan, Pahang : UMP, 2012 xiii, 128 p. : ill. (some col.) ; 30 cm. + 1 CD-ROM Project paper (Bachelor of Computer Science (Software Engineering)) -- Universiti Malaysia Pahang - 2012 Bibliography: p. 126-128 Nowadays, there are many technique to clustering large-scale data. One of the technique to clustering data is using the Rough Set Theory.The objective of this paper is to present the process of Data Clustering Using Maximum-Maximum Roughness and its application to cluster patients suspected heart disease. It is based on clustering techniques based on rough set theory name Max-Max Roughness to describes and employed regarding to solve a classification problem of heart disease patients. Cluster analysis Data mining 0 0 0 1 10000 10000 2019-09-04 0 QA278 .A45 2012 rs Bc. 0000068785 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 10000 10000 2019-09-04 0 CD 6574 | QA278 .A45 2012 rs Bc. 0000068786 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 3716 3722 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*9992