Modeling and Predicting Criminal Behaviour

Maryna Larchenko

ISBN 10: 6202515570 / ISBN 13: 9786202515573

Published by LAP LAMBERT Academic Publishing Mrz 2020, 2020

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -The author describes his own vision of the problems of criminological modeling and prediction of criminal behavior. In particular, the research evaluation of criminological modeling as a method of cognition in scientific research is provided. The doctrine of criminal behavior and the factors that cause it are thoroughly considered. We propose our own methods for determining the likelihood of relapse, identifying trends in latency, criminal activity in the regions using logic and mathematical methods. The identity of the offender was investigated using data reduction techniques. We have described the theoretical foundations of criminological crime prediction and individual prediction of criminal behavior using discriminant analysis and neural network methods. The basic directions of application of the results of criminological modeling and prediction of criminal behavior in the practice of crime prevention are analyzed. 508 pp. Englisch.

Seller Inventory # 9786202515573

Bibliographic Details

• Title: Modeling and Predicting Criminal Behaviour
• Publisher: LAP LAMBERT Academic Publishing Mrz 2020
• Publication Date: 2020
• Language: English
• ISBN 10: 6202515570
• ISBN 13: 9786202515573
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 31D millimeters 220 millimeters width by 150 millimeters height by 31 millimeters depth
• Weight: 774 grams

About this title

Synopsis

The author describes his own vision of the problems of criminological modeling and prediction of criminal behavior. In particular, the research evaluation of criminological modeling as a method of cognition in scientific research is provided. The doctrine of criminal behavior and the factors that cause it are thoroughly considered. We propose our own methods for determining the likelihood of relapse, identifying trends in latency, criminal activity in the regions using logic and mathematical methods. The identity of the offender was investigated using data reduction techniques. We have described the theoretical foundations of criminological crime prediction and individual prediction of criminal behavior using discriminant analysis and neural network methods. The basic directions of application of the results of criminological modeling and prediction of criminal behavior in the practice of crime prevention are analyzed.