General crime from the data mining point of view. A systematic literature review
by Maria Antonia Walteros-Alcázar; Nicolas Aguirre-Yacup; Sandra Patricia Castillo-Landínez; Pablo Eduardo Caicedo-Rodríguez
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 19, No. 3, 2021

Abstract: In recent decades, crime has become an issue of great concern to nations, which is why there is significant progress in the development of investigations in different areas. The literature review considers the data mining techniques applied to crime research, throughout the analysis of four thematic axes: countries, data sources, data mining techniques and software employed in different articles. The analysis used a systematic methodology to examine the 111 articles selected among 2008-2018 from almost 70 journals. The articles of this review are focused on different types of crime. The findings indicated that the USA is the most active country analysing crimes using data mining techniques; also, the most common sources are open data websites and crime studies. Studies based on general crime types are more frequent than those covering a specific type of crime, the algorithm mainly used in the studies is clustering and the most used software is WEKA.

Online publication date: Fri, 15-Oct-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Intelligence and Data Mining (IJBIDM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com