IR @ Goa University

Browsing by Author "Adhikari, A."

Browsing by Author "Adhikari, A."

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  • Adhikari, A.; Rao, P.R. (Data and Knowledge Engineering. 67(3); 2008; 430-443.)
    Measuring association among variables is an important step for finding solutions to many data mining problems. An existing metric might not be effective to serve as a measure of association among a set of items in a database. ...
  • Adhikari, A.; Rao, P.R. (Decision Support Systems. 44(4); 2008; 925-943.)
    Many large organizations have multiple large databases as they transact from multiple branches. Most of the previous pieces of work are based on a single database. Thus, it is necessary to study data mining on multiple ...
  • Adhikari, A.; Rao, P.R. (Pattern Recognition Letters. 28(16); 2007; 2312-2324.)
    Multi-database mining using local pattern analysis could be considered as an approximate method of mining multiple large databases. Thus, it might be required to enhance the quality of knowledge synthesized from multiple ...
  • Adhikari, A.; Rao, P.R. (Pattern Recognition Letters. 29(10); 2008; 1515-1523.)
    Though frequent itemsets and association rules express interesting association among items of frequently occurring itemsets in a database, there may exist other types of interesting associations among the items. A critical ...
  • Adhikari, A.; Rao, P.R.; BhanuPrasad; Adhikari, J. (International Arab Journal of Information Technology (IAJIT). 7(3); 2010; 241-249.)
    Effective data analysis using multiple databases requires highly accurate patterns. Local pattern analysis might extract low quality patterns from multiple large databases. Thus, it is necessary to improve mining multiple ...
  • Menon, H.B.; Adhikari, A. (Journal of Geophysical Research: Oceans. 123(11); 2018; 8138-8158.)
    A new semianalytical algorithm was formulated to retrieve chlorophyll-a (CHL) in optically complex waters using in situ dataset of coastal waters of eastern Arabian Sea. The algorithm was derived using CHL index of the ...
  • Adhikari, A.; Rao, P.R.; Pedrycz, W. (Knowledge and Information Systems. 27(1); 2011; 23-43.)
    Many large organizations have multiple large databases as they transact from multiple branches. Many important decisions are based on a set of specific items called the select items. Thus, the analysis of select items in ...
  • Adhikari, A.; Rao, P.R. (Pattern Recognition Letters. 29(1); 2008; 59-71.)
    Many large organizations have multiple databases distributed over different branches. Number of such organizations is increasing over time. Thus, it is necessary to study data mining on multiple databases. In this paper ...