|
NISCAIR ONLINE PERIODICALS REPOSITORY (NOPR) >
NISCAIR PUBLICATIONS >
Research Journals >
Journal of Scientific and Industrial Research (JSIR) >
JSIR Vol.67 [2008] >
JSIR Vol.67(07) [July 2008] >
| Title: | A novel approach for statistical and fuzzy association rule mining on quantitative data |
| Authors: | Krishna, G Vijay
Krishna, P Radha |
| Keywords: | Clustering
Data mining
Fuzzy association rules
Statistical association rules |
| Issue Date: | Jul-2008 |
| Publisher: | CSIR |
| Abstract: | This paper presents a method for deriving Association rules by using apriori algorithm, clustering and fuzzy set
concepts. Association rules of quantitative data are presented with mean and standard deviation, and with fuzzy linguistic
terms. A case study was done on the commodity data to demonstrate vitality of proposed method. The statistical and fuzzy
Association rules, inferred from the commodity data set, are helpful for the business experts in exporting related commodities
to a set of countries in a more effective way along with high profits. |
| Page(s): | 512-517 |
| ISSN: | 0022-4456 |
| Source: | JSIR Vol.67(07) [July 2008]
|
|
