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Table of contents (8 chapters)
Keywords
About this book
Reviews
From the reviews:
“Predicting ‘future dangerousness’ has been a hot topic in psychology, sociology, and criminal justice for many years. … The current state of machine learning statistical procedures utilizing very large datasets is presented in a little over 100 interesting pages. The book is aimed at social science graduate students and researchers, and criminal justice data analysts. Anyone interested in the topic will find it a good read. … Clearly, the author is moving our knowledge of this important topic forward.” (Brad Reid, ACM Computing Reviews, October, 2012)
Authors and Affiliations
Bibliographic Information
Book Title: Criminal Justice Forecasts of Risk
Book Subtitle: A Machine Learning Approach
Authors: Richard Berk
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-1-4614-3085-8
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author 2012
Softcover ISBN: 978-1-4614-3084-1Published: 10 April 2012
eBook ISBN: 978-1-4614-3085-8Published: 06 April 2012
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: IX, 115
Number of Illustrations: 1 b/w illustrations, 21 illustrations in colour
Topics: Artificial Intelligence, Statistical Theory and Methods, Probability and Statistics in Computer Science