In recent years, a significant boost in data availability for persistent data streams has been
observed. These data streams are continually evolving, with the clusters frequently forming …

Crime analytics and prediction have long been studied among research communities. In
recent years, crime data from different heterogeneous sources have given immense …

A wide number of reports and news on crimes, increasingly conducted almost every day,
have resulted in making detection of such crimes more difficult if not complex. Therefore, the …

Text clustering is an effective way that helps crime investigation through grouping of crime-
related documents. This paper proposes a Memetic Algorithm Feature Selection (MAFS) …

Density-based methods have appeared as a valuable category for the clustering of evolving
data streams. Although a number of density-based algorithms have recently been …

Data stream clustering is not a recent subject in data analysis and statistics. However, with
the rapid deployment of the Internet of Things (IoT), this field faces new practical challenges …

The explosive increase in the number of biometric images saved in most databases has
made image indexing mandatory. These processes could influence the speed of data …

Evolution of information technology has made the extraction of keywords from large amounts
of different digital information become more difficult. Particularly those associated with …

In the network era, online news is intense. How to accurately extract events from the
enormous amount of news is the real concerns people have, and it is the focus in academia …

Over the past decade, there has been a proliferation of online news articles. News articles
can contain rich content and contextual information pertaining to groups in societies, such as …