International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Implementation of Apriori Algorithm in Java |
|---|---|
| ABSTRACT | Data mining is the process of discovering useful and hidden patterns from large datasets. Association Rule Mining is an important data mining technique, widely used in Market Basket Analysis. The Apriori algorithm is a popular and level-wise algorithm used to find frequent itemsets from a transaction database based on minimum support. It works using the downward closure property, where all subsets of a frequent itemset must also be frequent. The algorithm uses join and prune steps and follows a Breadth First Search approach to generate candidate itemsets of size 1, 2, 3, and so on. In Java, Apriori can be implemented using arrays and collections to store transactions and itemsets. A lattice structure is used to represent itemset levels, making pattern generation easy to understand. |
| TITLE | |
| AUTHOR | PROF. SONAL ROHIDAS PAWAR Assistant Professor, Department of Masters of Computer Application, CAYMET’s Siddhant Institute of Computer Application, Pune, Maharashtra, India |
| VOLUME | 180 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1401068 |
| pdf/68_Implementation of Apriori Algorithm.pdf | |
| KEYWORDS | |
| References | [1] R. Agrawal and R. Srikant, "Fast Algorithms for Mining Association Rules," Proc. 20th Int. Conf. Very Large Data Bases (VLDB), Santiago, Chile, 1994, pp. 487–499. [2] R. Agrawal, T. Imielinski, and A. Swami, "Mining Association Rules between Sets of Items in Large Databases," Proc. ACM SIGMOD, Washington, DC, USA, 1993. [3] J. Han, M. Kamber, and J. Pei, Data Mining: Concepts and Techniques, 3rd ed. Morgan Kaufmann, 2012. [4] K. Rajalakshmi and S. S. Dhenakaran, Apriori Algorithm – A Review, International Journal of Computer Science and Engineering, Vol. 1, No. 4, pp. 161–164, 2009. [5] M. H. Dunham, Data Mining: Introductory and Advanced Topics, Pearson Education, 2006. [6] S. Tan, M. Steinbach, and V. Kumar, Introduction to Data Mining, Pearson Education, 1st Edition, 2006. [7] A. K. Jain and B. Satish, Implementation of Apriori Algorithm on Retail Data, International Journal of Computer Applications, Vol. 67, No. 25, 2013. |
