Research Article
Enhancement of Marketing Strategies using Weighted Association Rule Mining
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 68 - Issue 21 |
| Published: April 2013 |
| Authors: Dhwaneel Trivedi, Suraj Singh, Rashmi Thakur |
10.5120/11704-7311
|
Dhwaneel Trivedi, Suraj Singh, Rashmi Thakur . Enhancement of Marketing Strategies using Weighted Association Rule Mining. International Journal of Computer Applications. 68, 21 (April 2013), 28-33. DOI=10.5120/11704-7311
@article{ 10.5120/11704-7311,
author = { Dhwaneel Trivedi,Suraj Singh,Rashmi Thakur },
title = { Enhancement of Marketing Strategies using Weighted Association Rule Mining },
journal = { International Journal of Computer Applications },
year = { 2013 },
volume = { 68 },
number = { 21 },
pages = { 28-33 },
doi = { 10.5120/11704-7311 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A Dhwaneel Trivedi
%A Suraj Singh
%A Rashmi Thakur
%T Enhancement of Marketing Strategies using Weighted Association Rule Mining%T
%J International Journal of Computer Applications
%V 68
%N 21
%P 28-33
%R 10.5120/11704-7311
%I Foundation of Computer Science (FCS), NY, USA
Abstract
This paper symbolizes our aim to promote Business organizations to take marketing decisions based on mining large databases of Transactions. Frequent item sets and Strong Association Rules are formed without need of supplying minimum support and minimum confidence. We have proposed and implemented an algorithm that scans Database only once and modifies Apriori algorithm and produces better results.
References
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