Call For Paper Volume:7 Issue:5 May'2020 |

Association Rule Mining Using Discrete Cuckoo Search Algorithm

Publication Date : 23/03/2020

DOI : 10.21884/IJMTER.2020.7013.EQ5TT

Author(s) :

Mali Trupti Rajendra.

Volume/Issue :
Volume 7
Issue 3
(03 - 2020)

Abstract :

Association Rule Mining is considered as one of the widely used data mining technique which allows users to find patterns in data. It has two steps firstly its mine frequent itemsets from dataset. Secondly it generate association rule from that frequent items. Many algorithms which is using for Association Rule Mining. Traditional Algorithms that mine too many association rules, which is not useful for users. Its degrading the computational efficiency. Recent research in Association Rule Mining it uses metaheuristic algorithms which is only looking for high quality of rule, a modified discrete cuckoo search algorithm for association rules mining DCS-ARM is proposed for that purpose. The effectiveness of algorithm is tested again the transactional dataset. The experimental result shown that the proposed algorithm outperforms BSO-ARM in terms of the number of valid rule and quality. DCS-ARM is less time consuming than BSC-ARM algorithm

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Association Rule Mining Using Discrete Cuckoo Search Algorithm

March 14, 2020