Themes in data mining, big data, and crime analytics-Reference-Cited by-同舟云学术

Themes in data mining, big data, and crime analytics

Published:2021-10-18 Issue: Volume: Page:
ISSN:1942-4787
Container-title:WIREs Data Mining and Knowledge Discovery
language:en
Short-container-title:WIREs Data Mining Knowl Discov

Author:

Oatley Giles C.¹^ORCID

Affiliation:

1. School of Science, Engineering and Information Technology Federation University Berwick Victoria Australia

Publisher

Wiley

Subject

General Computer Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/widm.1432

Reference135 articles.

1. Abadi M. McMahan H. B. Chu A. Mironov I. Zhang L. Goodfellow I.&Talwar K.(2016). Deep learning with differential privacy. Proceedings of the ACM Conference on Computer and Communications Security Vienna Austria October 24–28 308–318.https://doi.org/10.1145/2976749.2978318

2. Law enforcement access to electronic evidence across borders: Mapping policy approaches and emerging reform initiatives;Abraha H. H.;International Journal of Law and Information Technology,2021

3. Mining Twitter data for crime trend prediction

4. Leveraging parallel spatio-temporal computing for crime analysis in large datasets: analyzing trends in near-repeat phenomenon of crime in cities

5. Aldemir E.(2011).Organizational problems of criminal intelligence sharing in a multi‐level setting of policing. Enis Aldemir.

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