A Narrative Review of Data Mining Techniques for User Behaviour Recognition with Illustrative Application of the Apriori Algorithm
Sonam, Jyoti · Journal of Computers Mechanical and Management · 2025
This review examines key data mining algorithms used for user behaviour recognition in computational systems, focusing on frequent pattern mining techniques. We summarize foundational methods such as Apriori, FP-Growth, and ECLAT, comparing their operational principles and limitations. A frequency-based literature analysis shows the widespread use of Apriori in market basket analysis. To illustrate its workings, we include a demonstrative walkthrough of the Apriori algorithm using a hypothetical dataset. The article concludes with insights into performance trade-offs and future directions in algorithmic efficiency.