Webometrics, the quantitative study of Web-related phenomena, emerged from the
realization that methods originally designed for bibliometric analysis of scientific journal …

Explanation in machine learning and related fields such as artificial intelligence aims at
making machine learning models and their decisions understandable to humans. Existing …

Data mining is an important area of research and is pragmatically used in different domains
like finance, clinical research, education, healthcare etc. Further, the scope of data mining …

While the Web has become a worldwide platform for communication, terrorists share their
ideology and communicate with members on the “Dark Web”—the reverse side of the Web …

The world is standing at the crossroad of new technology and knowledge-based epoch. It is
dubbed by many as new knowledge era, fourth Industrial Revolution, post-industrial society …

The unprecedented growth of the Internet has given rise to the Dark Web, the problematic
facet of the Web associated with cybercrime, hate, and extremism. Despite the need for tools …

Data mining is the process of extracting hidden patterns from data, and it's commonly used
in business, bioinformatics, counter-terrorism, and, increasingly, in professional sports. First …

We discuss training techniques, objectives and metrics toward personalization of deep
learning models. In machine learning, personalization addresses the goal of a trained model …

Purpose Hate speech in recent times has become a troubling development. It has different
meanings to different people in different cultures. The anonymity and ubiquity of the social …

The twenty-first century is a time of intensifying competition and progressive digitization.
Individual employees, managers, and entire organizations are under increasing pressure to …