Intelligent Data Mining in Law Enforcement Analytics_ New Neural Networks Applied to Real Problems [Buscema & Tastle 2012-11-27].pdf
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Intelligent Data Mining in Law Enforcement
Analytics
Massimo Buscema • William J. Tastle
Editors
Intelligent Data Mining in
Law Enforcement Analytics
New Neural Networks Applied
to Real Problems
123
Editors
Massimo Buscema
Semeion Research Centre of Sciences of
Communication
Rome
Italy
William J. Tastle
Ithaca College
NY
USA
ISBN 978-94-007-4913-9
ISBN 978-94-007-4914-6 (eBook)
DOI 10.1007/978-94-007-4914-6
Springer Dordrecht Heidelberg New York London
Library of Congress Control Number: 2012953015
© Springer Science+Business Media Dordrecht 2013
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of
the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation,
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now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection
with reviews or scholarly analysis or material supplied specifically for the purpose of being entered
and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of
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Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations
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The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication
does not imply, even in the absence of a specific statement, that such names are exempt from the relevant
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Springer is part of Springer Science+Business Media (www.springer.com)
Assembling the contents of an academic book
dealing with some new technology or a
sophisticated advancement is the task given
over to the academic researcher who
typically embraces the challenge with
dedication and purpose for it is what makes
us unique among our brethren. Libraries are
filled with esoteric research that is the
product of excellent minds, research that is so
arcane and possibly cryptic that it might
remain on the shelves for potentially
centuries until an application succeeds in
being brought forth by some other, equally
sophisticated and talented, individuals who
have the rare talent of merging new-found
knowledge with practical application.
Such is not the case with this academic text
for it was immediately observed that this
method of data analysis and mining could be
brought to bear in helping to solve some very
complex problems that have plagued the law
enforcement community since the advent of
the database and its concomitant assortment
of management systems. The easy
applications, that is to say, the most trivial
but definitely useful, were quickly subsumed
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