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Association Rule Mining Algorithm’s Variant Analysis
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 78 - Number 14 |
| Year of Publication: 2013 |
| Authors: Prince Verma, Dinesh Kumar |
10.5120/13593-1366
|
Prince Verma, Dinesh Kumar . Association Rule Mining Algorithm’s Variant Analysis. International Journal of Computer Applications. 78, 14 ( September 2013), 26-34. DOI=10.5120/13593-1366
Abstract
Association rule mining is a vital technique of data mining which is of great use and importance. For Association Rule mining various new techniques have been developed but concept for the newly developed algorithms remains the same. These recent developments are basically modifications to previous ones which introduce some minute changes in existing algorithms for better results. This paper addresses these basic algorithms and techniques in an elaborative way. So the reader can understand each of these techniques along with their pros and cons, without any additional effort. The techniques discussed here involve AIS, SETM, Apriori and FP-tree in detail.
References
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