Purpose: This study sought to review the characteristics, strengths, weaknesses variants,
applications areas and data types applied on the various Dimension Reduction techniques …

Clustering is the method employed to group Web pages containing related information into
clusters, which facilitates the allocation of relevant information. Clustering performance is …

With the widespread use of messaging via social networks such as Twitter, Instagram, and
Facebook, it is becoming imperative for researchers to devise intelligent systems for data …

Text Mining is a set of techniques that analyzes large masses of data, extract relations that
are unknown beforehand, and provide solutions to help decision-making. Text mining had …

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 …

Crime intelligence analysis and criminal investigations are increasingly making use of
geospatial methodologies to improve tactical and strategic decision-making. However, the …

Few studies on text clustering for the Malay language have been conducted due to some
limitations that need to be addressed. The purpose of this article is to compare the two …

Most of the crimes committed today are reported on the Internet by news articles, blogs and
social networking sites. With the increasing volume of crime information available on the …

Arabic is a widely spoken language but few mining tools have been developed to process
Arabic text. This paper examines the crime domain in the Arabic language (unstructured …

In these days, security of citizens is considered one of the major concerns of any
government in the world. In every country, there is a huge amount of unstructured texts …