Few problems in data mining are as deceptively simple to state and as brutal to solve as finding patterns that recur across a massive table of transactions. Every time a customer fills a shopping ...

Eight databases were searched from inception to May 2025. Clinical publications reporting acupuncture prescriptions for dysphagia with sialorrhea/drooling were included. One representative ...

Implementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mining frequent item sets in a set of transactions, implementation in Python.

Abstract: The consumer behaviour in e-commerce is the main focus of this research and data has been collected using Apriori Algorithm association rule mining method followed by the use of sequence ...

Association rules are if-then statements that show the probability of relationships between data items within large data sets in various types of databases. At a basic level, association rule mining ...

A powerful open source software suite, WEKA offers a diverse range of data mining and machine learning algorithms. These, combined with its user-friendly interface, make it ideal for generative AI and ...