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An Efficient Approach for Association Rule Mining by using Two Level Compression Technique
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 112 - Number 15 |
| Year of Publication: 2015 |
| Authors: Sheetal Bagde, Anju Singh |
10.5120/19742-1446
|
Sheetal Bagde, Anju Singh . An Efficient Approach for Association Rule Mining by using Two Level Compression Technique. International Journal of Computer Applications. 112, 15 ( February 2015), 16-21. DOI=10.5120/19742-1446
Abstract
One of the most important techniques of data mining is Association rule mining. Association rule mining (ARM) is a mining technique to integrate data from large databases and to extract the interesting correlations, frequent patterns and associations among the huge collection of data. In this paper, we have proposed the two level compression techniques for finding frequent items from the two level compressed databases and generate association rules with minimum time.
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- UCI machine repository
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