The data-driven approach is popular to automate learning of fuzzy rules and tuning
membership function parameters in fuzzy inference systems (FIS) development. However …

Predicting students' learning outcomes is one of the main topics of interest in the area of
Educational Data Mining and Learning Analytics. To this end, a plethora of machine learning …

Customer satisfaction is an important indicator of user preferences for products which
directly influence customers' purchase intentions. It is also an essential Kansei factor for …

Relational data usually contain multiple Sensitive Attributes (SAs) and Quasi-Identifiers
(QIs). Privacy leakage may occur if they are published directly. Therefore, many privacy …

In recent years, with the rise of the Internet of Things (IoT) and artificial intelligence (AI),
intelligent applications in various fields, such as intelligent manufacturing, have been …

Background: Prediction of students' academic performance is essential for systems
emphasizing students' greater success. The results can largely lead to increase in the …

Heart diseases are one of the crucial diseases that may cause fatality in both men and
women. About 12 million deaths occur across the world due to heart diseases. With the …

Computer-aided diagnosis system that uses classification process for an automated
detection of breast cancer could provide a second opinion that improves diagnosis. Several …

The development of a data-driven fuzzy inference system (FIS) involves the automatic
generation of membership functions and fuzzy if-then rules and choosing a particular …

The trading timing and decisions thereof revolve around complexities related to volatile
behavior of stock markets. Volatility is an uncertain outcome which might pose challenges …