Comparative Study of Various Improved Versions of Apriori Algorithm
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International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2013 by IJETT Journal | ||
| Volume-4 Issue-4 |
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| Year of Publication : 2013 | ||
| Authors : Shruti Aggarwal , Ranveer Kaur |
Citation
Shruti Aggarwal , Ranveer Kaur. "Comparative Study of Various Improved Versions of Apriori Algorithm". International Journal of Engineering Trends and Technology (IJETT). V4(4):687-690 Apr 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
In Data Mining Research, Frequent Item set Mining has been considered an important task. These item sets leads to the generation of Association rules . These rules tell about the presence of one item with respect to the presence of another item in large dataset. There are efficient methods for generating Association Rules from large databases. This paper describes methods for frequent item set mining and various improvem ents in the classical algorithm “Apriori” for frequent item set generation .
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Keywords
Frequent Item sets, Apriori Algorithm, AIS Algorithm , Association Rule Mining (ARM), Partition Algorithm
