Abstract Knowledge mining is a widely active research area across disciplines such as
natural language processing (NLP), data mining (DM), and machine learning (ML). The …

Abstract As the Internet of Things (IoT) becomes more and more intelligent, a new computing
paradigm, predictive intelligence is incorporated into many IoT applications. The devices of …

This work proposes a population evolution algorithm to deal with optimization problems
based on the evolution characteristics of the Phasmatodea (stick insect) population, called …

By studying the causality contained in financial texts, we can further reveal more potential
laws of economic activities, such as “factors promoting stable and healthy economic …

Purpose This study was based on situated learning, by combining mobile learning and
augmented reality, so that students could not only access information content in a real …

Purpose The research goal is to understand what factors affect users' knowledge and
information learning and sharing on social media platforms. This study focuses on the …

The application of digital technology in teaching has triggered the evolution of traditional
teaching. Students have different corresponding relationships under digital behavior. The …

This study is based on the background of how artificial intelligence (AI) technology is applied
to the field of creativity and design education to improve the design vision, teaching …

With booming e-commerce and World Wide Web (WWW), a powerful tool in customer
relationship management (CRM), called the RFM analysis model, has been used to ensure …

Top-k high utility itemsets (HUIs) mining permits discovering the required number of patterns-
k, without having an optimal minimum utility threshold (ie, minimum profit). Multiple top-k …