A systematic survey of online data mining technology intended for law enforcement

Edwards, Matthew and Rashid, Awais and Rayson, Paul (2015) A systematic survey of online data mining technology intended for law enforcement. ACM Computing Surveys, 48 (1). ISSN 0360-0300

[thumbnail of lrpaper]
PDF (lrpaper)
lrpaper.pdf - Accepted Version
Available under License Creative Commons Attribution.

Download (364kB)


As an increasing amount of crime takes on a digital aspect, law enforcement bodies must tackle an online environment generating huge volumes of data. With manual inspections becoming increasingly infeasible, law enforcement bodies are optimising online investigations through data-mining technologies. Such technologies must be well designed and rigorously grounded, yet no survey of the online data-mining literature exists which examines their techniques, applications and rigour. This article remedies this gap through a systematic mapping study describing online data-mining literature which visibly targets law enforcement applications, using evidence-based practices in survey making to produce a replicable analysis which can be methodologically examined for deficiencies.

Item Type:
Journal Article
Journal or Publication Title:
ACM Computing Surveys
Uncontrolled Keywords:
?? theoretical computer sciencecomputer science(all) ??
ID Code:
Deposited By:
Deposited On:
04 Nov 2015 14:00
Last Modified:
10 Jan 2024 00:19