Association rules are commonly used to provide decision‐makers with knowledge that helps
them to make good decisions. Most of the published proposals mine association rules …

Many businesses benefit from the business-to-business (B2B) campaign recommendation
strategy. Complex commodities and user profiles restrict the performance of automated B2B …

High-utility sequential pattern mining techniques have demonstrated good performance in
identifying associations between mRNA levels in microarray experiments taking into account …

Fast and effective recommender systems are fundamental to fulfill the growing requirements
of the e-commerce industry. The strength of matrix factorization procedure based on …

Association rule mining (ARM) is one of the most important tasks in data mining. In recent
years, swarm intelligence algorithms have been effectively applied to ARM, and the main …

Equipment quality‐related data contains valuable information. Data mining technology
seems to be an efficient method for extracting knowledge from large amounts of data. In this …

Market basket prediction, which is the basis of product recommendation systems, is the
concept of predicting what customers will buy in the next shopping basket based on analysis …

Association rules are used in different data mining applications, including Web mining,
intrusion detection, and bioinformatics. This study mainly discusses the COVID‐19 patient …

Traditional temporal association rules mining algorithms cannot dynamically update the
temporal association rules within the valid time interval with increasing data. In this paper, a …

Product layout significantly impacts consumer demand for purchases in supermarkets.
Product shelf renovation is a crucial process that can increase supermarket efficiency. The …