Comparative Analysis of Association Rule Mining Algorithms |
Author(s): |
| Neesha Sharma , Department of Computer Science and Applications, Kurukshetra University, Kurukshetra, India; Dr. Chander Kant Verma, Department of Computer Science and Applications, Kurukshetra University, Kurukshetra, India |
Keywords: |
| Apriori, Association rule mining, FP-Growth, Predictive Apriori, Tertius, Weka |
Abstract |
|
In the field of association rule mining, many algorithms exist for exploring the relationships among the items in the database. These algorithms are very much different from one another and take different amount of time to execute on the same sets of data. In this paper, a sample dataset has been taken and various association rule mining algorithms namely Apriori, FP-Growth, Tertius and Predictive Apriori have been compared. These algorithms were applied on the data using Weka tool and the results have been presented. According to the results obtained, it has been found out that FP-Growth algorithm is the fastest of them all. |
Other Details |
|
Paper ID: IJSRDV2I2217 Published in: Volume : 2, Issue : 2 Publication Date: 01/05/2014 Page(s): 1007-1010 |
Article Preview |
|
|
|
|
