Cancer is the uncontrollable cell division of abnormal cells inside the human body, which
can spread to other body organs. It is a non-communicable diseases (NCDs), which account …

Attribute reduction is an important application of rough set theory. With the dynamic changes
of data becoming more and more common, traditional attribute reduction, also called static …

Nowadays, the increase in criminal activities has resulted in a massive generation of crime
reports describing the details of the crime incidents. Analyzing these reports for crime type …

The main difference between rough set theory and some methods of uncertainty theory,
such as probabilistic data mining, fuzzy set theory, and evidence‐based data mining, is that …

This report proposes state-of-the-art research in the field of Computer Assisted Language
Learning (CALL). Mispronunciation detection is one of the core components of Computer …

As a widely used data preprocessing method, feature selection with rough sets aims to
delete redundant conditional features. However, most of the traditional feature selection …

The proposed work describes a rough set based incremental crime report labelling
technique. The named entities are recognized from the available crime reports to identify the …

The phenomenon of missing data can be seen everywhere in reality. Most typical attribute
reduction models are only suitable for complete systems. But for incomplete systems, we …

Skeleton based recognition systems are gaining popularity and machine learning models
focusing on points or joints in a skeleton have proved to be computationally effective and …

In today's digital age, log files are crucial. However, the conversion of text log files into
images has only recently been developed. The security of log files is a major source of …