The aim of this study is to provide an overview the state-of-the-art elements of text
classification. For this purpose, we first select and investigate the primary and recent studies …

A new method for feature subset selection in machine learning, FSS-MGSA (Feature Subset
Selection by Modified Gravitational Search Algorithm), is presented. FSS-MGSA is an …

Rolling bearing is an important part of mechanical equipment. Timely detection of rolling
bearing fault is one of the important factors to ensure the safe operation of equipment. In …

Document classification, a critical area of research, employs machine and deep learning
methods to solve real-world problems. This study attempts to highlight the qualitative and …

Multilabel learning, an emerging topic in machine learning, has received increasing
attention in recent years. However, how to effectively tackle high-dimensional multilabel …

The internet of things (IOT) environments are constantly changing, so that in such
environments cannot be guaranteed exactly analyze and predict the events occurrence …

To find closeness between two data points, traditional distance based closeness
measurement calculates distance between two data points. However, it fails to capture …

World Wide Web has become a huge collection of documents and the amount of documents
available is increasing on a daily basis. How to correctly classify the vast documents into a …

Effective dimensionality reduction is a classical research area for many large-scale analysis
tasks in computer vision. Several recent methods attempt to learn either graph embedding or …

In recent years, the rapid development of information and communication technology results
in too many loopholes in the network, and thus attracts lots of hackers' attacks. Intrusion …