A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is application/pdf
.
Soft Set Approach for Mining Quantitative Association Patterns in Databases
2013
IOSR Journal of Computer Engineering
Association rule mining is an active data mining research area. In recent years, association rules from large databases have received considerable attention and have been applied to various areas such as marketing, retail and finance, etc. The traditional algorithms for mining frequent association patterns suffer from the problems of under prediction and over prediction of patterns. The main aim of the present paper is to develop a soft set approach for mining fuzzy quantitative association
doi:10.9790/0661-1165565
fatcat:edm7tzqqd5a5bm6ts6mokqeeva