Association rule mining (ARM) is a commonly encountred data mining method. There are
many approaches to mining frequent rules and patterns from a database and one among …

Abstract Association Rule Mining (ARM) is a significant task for discovering frequent patterns
in data mining. It has achieved great success in a plethora of applications such as market …

Multiobjective evolutionary algorithms (MOEAs) have gained much attention due to their
high effectiveness and efficiency in solving multiobjective optimization problems (MOPs) …

Discovering association rules is a useful and common technique for data mining in which
dependencies among datasets are shown. Discovering the rules from continuous numeric …

In the domain of association rules mining (ARM) discovering the rules for numerical
attributes is still a challenging issue. Most of the popular approaches for numerical ARM …

Evolutionary algorithms are normally applied to mine association rules on quantitative data
but most of them obtain enough similar rules due to that the usual behavior of these …

Customer relationship management (CRM) is a customer-centric business strategy which a
company employs to improve customer experience and satisfaction by customizing products …

Association rule mining is one of the most important tasks to describe raw data. Although
many efficient algorithms have been developed to this aim, existing algorithms do not work …

Erasable itemset (EI) mining is an interesting variation of frequent itemset mining which
allows managers to carefully consider their production plans to ensure the stability of the …

The growing interest in data storage has made the data size to be exponentially increased,
hampering the process of knowledge discovery from these large volumes of high …