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 …

It is widely known that there is a lot of useful information hidden in big data, leading to a new
saying that “data is money.” Thus, it is prevalent for individuals to mine crucial information for …

In agricultural production, soil characteristics play a vital role in maintaining fertility by
allowing crops to develop better through root nutrition with minimal energy inputs. Nitrogen …

Mining high utility itemsets from massive data is one of the most active research directions in
data mining at present. Intelligent optimization algorithms have been applied to the high …

Mining patterns with high utilization (or called high-utility itemset mining, HUIM) is
considered a major issue in recent decades especially in the market (eg, supermarket) …

Abstract Exact approaches to Frequent Itemsets Mining (FIM) are characterised by poor
runtime performance when dealing with large database instances. Several FIM bio-inspired …

High-utility itemset mining is a popular data mining problem that considers utility factors,
such as quantity and unit profit of items besides frequency measure from the transactional …

Data mining methods have been required in both commercial and non-commercial areas. In
such circumstances, pattern mining techniques can be used to find meaningful pattern …

In order to improve the performance and change the current situation of the cost
minimization model widely used in the cold chain logistics distribution process, a multi …

Over the past decade, high-utility itemset mining (HUIM) has received widespread attention
that can emphasize more critical information than was previously possible using frequent …