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

Research output: Contribution to journalJournal article

Published
<mark>Journal publication date</mark>09/2015
<mark>Journal</mark>ACM Computing Surveys
Issue number1
Volume48
<mark>State</mark>Published
<mark>Original language</mark>English

Abstract

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.