Falls are unusual actions that cause a significant health risk among older people. The
growing percentage of people of old age requires urgent development of fall detection and …

The concept of three-way decision, interpreted and described as thinking, problem solving,
and information processing in “threes”, has been widely studied and applied in machine …

Outliers carry significant information to reflect an anomaly mechanism, so outlier detection
facilitates relevant data mining. In terms of outlier detection, the classical approaches from …

Pawlak rough set (PRS) and neighborhood rough set (NRS) are the two most common
rough set theoretical models. Although the PRS can use equivalence classes to represent …

This study is concerned with the design of a three-way classification mechanism realized
through combing fuzzy decision trees and expressing uncertainty associated with …

In dynamic and open environments, the traditional static sentiment analysis or opinion
mining model is unsuitable for continuous computation and classification of human opinions …

Multi-scale decision system (MDS) is an effective tool to describe hierarchical data in
machine learning. Optimal scale combination (OSC) selection and attribute reduction are …

Recommender systems (RSs) are effective technologies and tools used to deal with the
problems of information overload, and have been developed rapidly in nearly two decades …

As a typical methodology to deal with uncertain issues, the three-way decision (3WD) has
been developed rapidly in nearly ten years, both in theories and applications. Three-way …

This paper presents a strong data-mining method based on a rough set, which can
simultaneously realize feature selection, classification, and knowledge representation …