Public decision support for low population density areas: An imbalance-aware hyper-ensemble for spatio-temporal crime prediction-Reference-Cited by-同舟云学术

Public decision support for low population density areas: An imbalance-aware hyper-ensemble for spatio-temporal crime prediction

Published:2019-04 Issue: Volume:119 Page:107-117
ISSN:0167-9236
Container-title:Decision Support Systems
language:en
Short-container-title:Decision Support Systems

Author:

Kadar Cristina^ORCID,Maculan Rudolf,Feuerriegel Stefan^ORCID

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference39 articles.

1. Novel evaluation metrics for sparse spatio-temporal point process hotspot predictions - a crime case study;Adepeju;Int. J. Geogr. Inf. Sci.,2016

2. An open-data approach for quantifying the potential of taxi ridesharing;Barann;Decis. Support. Syst.,2017

3. Once upon a crime: Towards crime prediction from demographics and mobile data;Bogomolov,2014

4. Prospective hot-spotting: the future of crime mapping?;Bowers;Br. J. Criminol.,2004

5. Criminality of place;Brantingham;Eur. J. Crim. Pol. Res.,1995

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