A Comparative Analysis on Association Rule Mining Techniques with Weight, Privacy and Utility Features |
Author(s): |
| Deepthi Das .K , Cochin College Of Engineering and Technology; Uma E S, Cochin College Of Engineering and Technology |
Keywords: |
| Association Rule Mining, Sequential Mining, Weighted Rule Mining, Utility based Rule Mining and Pruning Methods |
Abstract |
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The data mining methods are applied to discoer the hidden knowledge from large databases. The association rule mining methods are applied to discover the frequent item set mining process. The association rule mining method considers only the frequency values. The importance of the attributes are not focused in the traditional rule mining process. The weighed rule mining and utility based mining methods are introduced to discover the rules with item importance analysis. The literature survey is conducted on weighted rule mining, sequential rule mining, privacy preserved mining and utility based mining methods. Distributed rule mining and rule pruning techniques are also analyzed in the comparison process. The high utility rule mining process is build with pruning methods. |
Other Details |
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Paper ID: IJSRDV7I10716 Published in: Volume : 7, Issue : 1 Publication Date: 01/04/2019 Page(s): 1221-1226 |
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