1.

Record Nr.

UNINA9910780929603321

Titolo

Crime prevention policies in comparative perspective / / edited by Adam Crawford

Pubbl/distr/stampa

Cullompton, Devon ; ; Portland, Oregon : , : Willan Publishing, , 2009

ISBN

9781843927259

184392725X

9781134027583

1134027583

9781134027514

1134027516

9781282462663

1282462660

9786612462665

6612462663

Descrizione fisica

1 online resource (293 pages) : illustrations

Disciplina

364.4

364.4094

Soggetti

Crime prevention - Europe

Crime prevention

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Cover; Crime Prevention Policies in Comparative Perspective; Title Page; Copyright Page; Table of Contents; Figures and tables; Acknowledgements; Notes on contributors; Introduction: The preventive turn in Europe; 1 Situating crime prevention policies in comparative perspective: policy travels, transfer and translation; 2 The political evolution of situational crime prevention in England and Wales; 3 The preventive turn and the promotion of safer communities in England and Wales: political inventiveness and governmental instabilities

4 The development of community safety in Scotland: a different path?5 The evolving story of crime prevention in France; 6 Forty years of crime



prevention in the Dutch polder; 7 'Modernisation' of institutions of social and penal control in Italy/Europe: the 'new' crime prevention; 8 Crime prevention at the Belgian federal level: from a social democratic policy to a neo-liberal and authoritarian policy in a social democratic context; 9 Going around in circles? Reflections on crime prevention strategies in Germany

10 Crime prevention in Hungary: why is it so hard to argue for the necessity of a community approach?11 International models of crime prevention; Index

Sommario/riassunto

This book brings together a collection of leading international experts to explore the lessons learnt through implementation and the future directions of crime prevention policies. Through a comparative analysis of developments in crime prevention policies across a number of European countries, contributors address questions such as: How has 'the preventive turn' in crime control policies been implemented in various different countries and what have its implications been? What lessons have been learnt over the ensuing years and what are the major trends influencing the direction of developm

2.

Record Nr.

UNINA9910337787303321

Titolo

Data Science and Digital Business / / edited by Fausto Pedro García Márquez, Benjamin Lev

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019

ISBN

3-319-95651-5

Edizione

[1st ed. 2019.]

Descrizione fisica

1 online resource (VIII, 316 p. 117 illus.)

Disciplina

658.40301

Soggetti

Operations research

Decision making

Big data

Management information systems

Electronic commerce

Statistics

Engineering economy

Operations Research/Decision Theory

Big Data/Analytics

Business Information Systems

e-Commerce/e-business

Statistics for Business, Management, Economics, Finance, Insurance



Engineering Economics, Organization, Logistics, Marketing

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Advanced Regression Models in Data Science -- Data Science Method in Analysis of Flood Risk in Mississippi Gulf Coast Area -- An efficient bundle-like algorithm for data-driven multi-objective bi-level signal design for traffic networks with hazardous material transportation -- Deploying a scalable Data Science environment using Docker -- Data Science and Conversational Interfaces: A new revolution in Digital Business -- After 2017: Managers Exit and Banks Arise.

Sommario/riassunto

This book combines the analytic principles of digital business and data science with business practice and big data. The interdisciplinary, contributed volume provides an interface between the main disciplines of engineering and technology and business administration. Written for managers, engineers and researchers who want to understand big data and develop new skills that are necessary in the digital business, it not only discusses the latest research, but also presents case studies demonstrating the successful application of data in the digital business.