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

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A systematic survey of online data mining technology intended for law enforcement. / Edwards, Matthew; Rashid, Awais; Rayson, Paul.

In: ACM Computing Surveys, Vol. 48, No. 1, 09.2015.

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@article{28ecd940d44c4b8e930dc159b3e95229,
title = "A systematic survey of online data mining technology intended for law enforcement",
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.",
author = "Matthew Edwards and Awais Rashid and Paul Rayson",
year = "2015",
month = "9",
doi = "10.1145/2811403",
language = "English",
volume = "48",
journal = "ACM Computing Surveys",
issn = "0360-0300",
publisher = "Association for Computing Machinery (ACM)",
number = "1",

}

RIS

TY - JOUR

T1 - A systematic survey of online data mining technology intended for law enforcement

AU - Edwards, Matthew

AU - Rashid, Awais

AU - Rayson, Paul

PY - 2015/9

Y1 - 2015/9

N2 - 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.

AB - 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.

U2 - 10.1145/2811403

DO - 10.1145/2811403

M3 - Journal article

VL - 48

JO - ACM Computing Surveys

JF - ACM Computing Surveys

SN - 0360-0300

IS - 1

ER -