Research on Association Rule Mining Algorithms
Hirali Devendra Wadaskar1 Vijay M. Rakhade, Lowlesh N. Yadav
Abstract: Association rule mining is one of the important part in the field of data mining. The scope of association rule mining is very broad. In association rules mining, frequent item sets mining is essential. Apriori algorithm, Eclat algorithm and FP-growth algorithm are famous algorithms to find frequent item sets. This algorithm can reduce the database and improve mining efficiency.
Keywords: Association Rule, Itemset, Data Mining, Algorithms.
This work is licensed under a Creative Commons Attribution 4.0 International License.How to Cite:
[1] Hirali Devendra Wadaskar1 Vijay M. Rakhade, Lowlesh N. Yadav, βResearch on Association Rule Mining Algorithms,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.115152