Information Technology Journal1812-56381812-5646Asian Network for Scientific Information10.3923/itj.2009.173.180AroraA. UpadhyayaS. JainR. 2200982In this study, a method is presented for selection and
ranking of significant attributes for individual clusters which lead to
formulation of concise and user understandable patterns. Cluster is set
of similar data objects and similarity is measured on attribute values.
Attributes which have same value for majority of objects in a cluster
are considered significant and rest non significant for that cluster.
Reduct from rough set theory is defined as the set of attributes which
distinguishes the objects in a homogenous cluster, therefore these can
be clear cut removed from the same. Non reduct attributes are ranked for
their contribution in the cluster. Pattern is then formed by conjunction
of most contributing attributes of that cluster.]]>Abidi, S.S.R., M.K. Hoe and A. Goh,20012189248257Abidi, S.S.R. and A. Goh,19981531170-181181Ganter, B. and R. Wille,19971st Edn.,Han, J. and M. Kamber,20062nd Edn.,Pages: 800Pages: 800Jain, A.K., M.N. Murty and P.J. Flynn,199931264323Minz, S. and Jain, R.,20052133148Skowron, A., J. Komorowski, Z. Pawlak and L. Polkowski,20021st Edn.,pp: 134-149pp: 134-149Talavera, L.,19991999pp: 75-86pp: 75-86Mali, K. and Mitra, S.,20022275339344Mirkin, B.,1999352539Mirkin, B.,20051st Edn.,Pawlak, Z., J. Grzymala-Busse, R. Slowinski and W. Ziarko,1995388895Polkowski, L.,20021st Edn.,Ohrn, A., J. Komorowski, A. Skowron and P. Synak,19981998pp: 376-399pp: 376-399Blake, C.L. and C.J. Merz,19981st Edn.,Wroblewski, J.,19951995pp: 186189Holmes, G., A. Donkin and I.H. Witten,19941994pp: 357361Arora, A., S. Upadhyaya and R. Jain,20082008pp: 389398Guha, S., R. Rastogi and K. Shim,19991999