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

As a novel architecture of a fuzzy decision tree constructed on fuzzy rules, the fuzzy rule-
based decision tree (FRDT) achieved better performance in terms of both classification …

Obtaining comprehensible classification rules may be extremely important in many real
applications such as data-driven decision-making and classification tasks. Decision-tree …

Drift detection methods identify changes in data streams. Such changes are called concept
drifts. Existing drift detection methods often assume that the input is a noise-free data stream …

Cloud computing is a thriving and ever-expanding sector in the industry world. This growth
has sparked increased interest from organizations seeking to harness its potential. However …

In designing modern recommender systems, item feature information (or side information) is
often ignored as most models focus on exploiting rating information. However, the side …

To effectively address the requirements of deeply coexisting-cooperative-cognitive (Tri-Co)
interactions among humans, robots, and the environment within the context of Industry 4.0, it …

This study reports on how ML algorithms are employed to investigate and predict surface
roughness. Experiments were executed with a CNC milling machine, using AA7075 as part …

Since cloud computing has been developing as a successful business and growing interest
of organizations to make use of the environment, the volume of provided services is highly …

Machine learning (ML) has been instrumental in solving complex problems and significantly
advancing different areas of our lives. Decision tree-based methods have gained significant …