Distributed Association Rule Mining Algorithms - A Review |
Author(s): |
| Sowmyashree ; Bhavna Arora; Shweta Sharma; Tejal Rachh |
Keywords: |
| Association Rule Mining, DARM, Market Basket Analysis, Apriori |
Abstract |
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Association rule mining is a large data mining research area. Association rule mining is most popular and well researched practice for determining interesting relations between variables in large databases. Most Association rule mining (ARM) algorithms cater to a centralized environment. This paper describes a review of different association rule mining algorithms and their limitations. This paper also proposes a Distributed Count Association Rule Mining Algorithm (DCARM), for distributed systems, which can be experimented on real time data sets. Proposed system can eventually help in sales forecast and making business plans accordingly to suit the market and hence raise the profits accordingly. |
Other Details |
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Paper ID: NCTAAP162 Published in: Conference 4 : NCTAA 2016 Publication Date: 00/00/0000 Page(s): 701-704 |
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