Research Article
Association Rule Development for Market Basket Dataset
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 180 - Issue 50 |
| Published: Jun 2018 |
| Authors: S. S. Bhaskar |
10.5120/ijca2018917310
|
S. S. Bhaskar . Association Rule Development for Market Basket Dataset. International Journal of Computer Applications. 180, 50 (Jun 2018), 12-15. DOI=10.5120/ijca2018917310
@article{ 10.5120/ijca2018917310,
author = { S. S. Bhaskar },
title = { Association Rule Development for Market Basket Dataset },
journal = { International Journal of Computer Applications },
year = { 2018 },
volume = { 180 },
number = { 50 },
pages = { 12-15 },
doi = { 10.5120/ijca2018917310 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2018
%A S. S. Bhaskar
%T Association Rule Development for Market Basket Dataset%T
%J International Journal of Computer Applications
%V 180
%N 50
%P 12-15
%R 10.5120/ijca2018917310
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The Term Data mining is used to analyse a big dataset in Statistics. Data mining contains different kinds of approaches like classification, clustering and association. This research work focused on association rule only. association has two special characteristics, which are support and confidence. In this research work, the methodology of association has been studied and developed different rules for a real-life dataset of a super market. These rules are based on three items only.
References
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