Rough set based attribute clustering for sample classification of gene expression data

RK Nayak, D Mishra, K Shaw, S Mishra - Procedia engineering, 2012 - Elsevier
Attribute clustering is one of the unsupervised data mining applications which have been
previously used to identify statistical dependence between subsets of variables where the …

Reduct driven pattern extraction from clusters

S Upadhyaya, A Arora, R Jain - International Journal of …, 2009 - Taylor & Francis
Clustering algorithms give general description of clusters, listing number of clusters and
member entities in those clusters. However, these algorithms lack in generating cluster …

An application of rough set theory to cluster student assessment at universities

S Suhirman - JIKO (Jurnal Informatika dan Komputer), 2017 - ejournal.utdi.ac.id
Assessment is the last session of a lecture in college. There are several components that
form the basis of calculations. A technique to select a clustering attribute based on rough set …

[PDF][PDF] Knowledge Acquisition Using Rough Set Based Post-Processing of Clusters: Characterizing ICT Access to Women Farmers

R Jain, A Arora, U Ahuja - academia.edu
Abstract Information and knowledge are the key drivers of growth. In Indian scenario, women
farmers are responsible for 70 per cent of the actual farm work and constitute up to 60 per …

Heuristic Knowledge Discovery Using Genetic Algorithm and Rough Set Theory

R Jain, R Sethi, A Arora, SS Raju - Advances in Data …, 2009 - books.google.com
Database queries generally help only to answer simple questions. The classical search
methods that process and evaluate all nodes of a search space generally fail with large …