Evolutionary Computation (EC) approaches are inspired by nature and solve optimization
problems in a stochastic manner. They can offer a reliable and effective approach to address …

Smart manufacturing has received increased attention from academia and industry in recent
years, as it provides competitive advantage for manufacturing companies making industry …

Having passed the primitive phases and starting to revolutionize many different fields in
some way, artificial intelligence is on its way to becoming a disruptive technology. It is also …

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 …

Typically performed by supervised machine learning algorithms, sentiment analysis is highly
useful for extracting subjective information from text documents online. Most approaches that …

In this paper, based on more than ten years' studies on this dedicated research thrust, a
comprehensive review concerning information mining from big consumer opinion data in …

With the rapid development of the economy, product design has gradually shifted to
emotional design that focuses on satisfying users' emotional needs. Kansei engineering is …

In an emergency evacuation operation, accurate classification of the evacuee population
can provide important information to support the responders in decision making; and …

At present online reviews are becoming an important source for Kansei engineering of the
services provided by ridesharing platforms. Kansei engineering deals with incorporating …

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 …