Due to pressing challenges such as high market volatility, complex global logistics,
geopolitical turmoil and environmental sustainability, compounded by radical events such as …

Logistics issues in cross-border online shop** have become an important hotspot for
customer complaints. However, limited research has explored how poor logistics service …

In the iron and steel industry, evaluating the energy utilization efficiency (EUE) and
determining the optimal energy matching mode play an important role in addressing …

This study endeavors to enhance the comprehension of damage mechanism in airport
cement pavements, analyzing patterns to pinpoint strategies that extend the service life of …

The growth of online trading platforms and the development of market technology have
forced businesses to take part in the analysis of client behavior. Therefore, this research …

Numerical association rule mining (NARM) is a popular method under the umbrella of data
mining, focused on finding relationships between attributes in transaction databases …

Salmonellosis is one of the most common foodborne diseases worldwide, with the ability to
infect humans and animals. Antimicrobial resistance (AMR) and, particularly, multidrug …

The navigational potential of Arctic waters is significant; however, the extreme climate and
icy waters could result severe casualties, economic losses, and environmental pollution …

Association rule mining is an established machine learning tool for finding patterns ('rules')
in big datasets. The algorithm can easily produce a large number of 'rules' of how items in a …

Association Rule Mining (ARM) relies on concept lattices as an effective knowledge
representation structure. However, classical ARM methods face significant limitations …