Governmental Data Mining and its Alternatives.

Tal Z. Zarsky

Governmental Data Mining and its Alternatives.

Tal Z. Zarsky

Faculty of Law

University of Haifa

Research output: Contribution to journal › Article › peer-review

Abstract

The article discusses the concerns related to data mining practices and the role of humans and machines for defining personal data analysis. It addresses four central alternative strategies to achieve governmental objectives of security and law enforcement without engaging in data mining. It emphasizes to develop a methodology for examining alternatives of data mining to get attention of academics and policymakers.

Original language	American English
Pages (from-to)	285-330
Number of pages	46
Journal	Penn State Law Review
Volume	116
Issue number	2
State	Published - 1 Sep 2011

Keywords

Data mining
Government securities
Law enforcement
Methodology
Mine examination
Policy sciences

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

http://www.pennstatelawreview.org/116/2/116%20Penn%20St.%20L.%20Rev.%20285.pdf

Cite this

@article{fea1595b9a1140b98287a1cdbe74e30d,

title = "Governmental Data Mining and its Alternatives.",

abstract = "The article discusses the concerns related to data mining practices and the role of humans and machines for defining personal data analysis. It addresses four central alternative strategies to achieve governmental objectives of security and law enforcement without engaging in data mining. It emphasizes to develop a methodology for examining alternatives of data mining to get attention of academics and policymakers.",

keywords = "Data mining, Government securities, Law enforcement, Methodology, Mine examination, Policy sciences",

author = "Zarsky, {Tal Z.}",

year = "2011",

month = sep,

day = "1",

language = "American English",

volume = "116",

pages = "285--330",

number = "2",

}

TY - JOUR

T1 - Governmental Data Mining and its Alternatives.

AU - Zarsky, Tal Z.

PY - 2011/9/1

Y1 - 2011/9/1

N2 - The article discusses the concerns related to data mining practices and the role of humans and machines for defining personal data analysis. It addresses four central alternative strategies to achieve governmental objectives of security and law enforcement without engaging in data mining. It emphasizes to develop a methodology for examining alternatives of data mining to get attention of academics and policymakers.

AB - The article discusses the concerns related to data mining practices and the role of humans and machines for defining personal data analysis. It addresses four central alternative strategies to achieve governmental objectives of security and law enforcement without engaging in data mining. It emphasizes to develop a methodology for examining alternatives of data mining to get attention of academics and policymakers.

KW - Data mining

KW - Government securities

KW - Law enforcement

KW - Methodology

KW - Mine examination

KW - Policy sciences

M3 - Article

SN - 1545-7877

VL - 116

SP - 285

EP - 330

JO - Penn State Law Review

JF - Penn State Law Review

IS - 2

ER -