Research Article
An Efficient Tree based algorithm for Association Rule Mining
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 117 - Issue 11 |
| Published: May 2015 |
| Authors: Akash Shrivastava, Kuntal Barua |
10.5120/20601-3188
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Akash Shrivastava, Kuntal Barua . An Efficient Tree based algorithm for Association Rule Mining. International Journal of Computer Applications. 117, 11 (May 2015), 31-32. DOI=10.5120/20601-3188
@article{ 10.5120/20601-3188,
author = { Akash Shrivastava,Kuntal Barua },
title = { An Efficient Tree based algorithm for Association Rule Mining },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 117 },
number = { 11 },
pages = { 31-32 },
doi = { 10.5120/20601-3188 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Akash Shrivastava
%A Kuntal Barua
%T An Efficient Tree based algorithm for Association Rule Mining%T
%J International Journal of Computer Applications
%V 117
%N 11
%P 31-32
%R 10.5120/20601-3188
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Data mining is a process by which the from raw data information and important patterns are estimated. That involves the intermediate processes to find the data patterns from the input datasets. These processes are pre- processing, algorithm implementation and the testing of developed model. algorithm are used find the data pattern from the data, that may in form of associative, any data structure based or weight based. The proposed work is an effort in order to develop an association rule mining algorithm using the decision tree. Where the decision tree is used first to find the decision rules and according to rules new associate rules are extracted from the data.
References
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