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Criminal justice forecasts of risk[e...

Berk, Richard.

Criminal justice forecasts of risk[electronic resource] :a machine learning approach /

Record Type:	Language materials, printed : Monograph/item
[NT 15000414]:	364
Title/Author:	Criminal justice forecasts of risk : a machine learning approach // by Richard Berk.
Author:	Berk, Richard.
Published:	New York, NY : : Springer New York,, 2012.
Description:	ix, 115 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
Subject:	Crime forecasting - Data processing.
Subject:	Criminal behavior, Prediction of - Data processing.
Subject:	Computer Science.
Subject:	Artificial Intelligence (incl. Robotics)
Subject:	Statistical Theory and Methods.
Subject:	Probability and Statistics in Computer Science.
ISBN:	9781461430858 (electronic bk.)
ISBN:	9781461430841 (paper)
Online resource:	http://dx.doi.org/10.1007/978-1-4614-3085-8

Criminal justice forecasts of risk[electronic resource] :a machine learning approach /
Berk, Richard.

Criminal justice forecasts of riska machine learning approach /[electronic resource] :by Richard Berk. - New York, NY :Springer New York,2012. - ix, 115 p. :ill., digital ;24 cm. - SpringerBriefs in computer ccience,2191-5768. - SpringerBriefs in computer ccience..

ISBN: 9781461430858 (electronic bk.)Subjects--Topical Terms:

469790
Crime forecasting
--Data processing.

LC Class. No.: HV6152 / .B47 2012

Dewey Class. No.: 364

Criminal justice forecasts of risk[electronic resource] :a machine learning approach /
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245 1 0 $a Criminal justice forecasts of risk $h [electronic resource] : $b a machine learning approach / $c by Richard Berk.
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300 $a ix, 115 p. : $b ill., digital ; $c 24 cm.
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650 1 4 $a Computer Science. $3 423143
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 463642
650 2 4 $a Statistical Theory and Methods. $3 464135
650 2 4 $a Probability and Statistics in Computer Science. $3 468089
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830 0 $a SpringerBriefs in computer ccience. $3 469784
856 4 0 $u http://dx.doi.org/10.1007/978-1-4614-3085-8
950 $a Computer Science (Springer-11645)

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