- Title
- Themes in data mining, big data, and crime analytics
- Creator
- Oatley,Giles
- Date
- 2022
- Type
- Text; Journal article; Review
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/186837
- Identifier
- vital:16974
- Identifier
-
https://doi.org/10.1002/widm.1432
- Identifier
- ISBN:1942-4787 (ISSN)
- Abstract
- This article examines the impact of new AI-related technologies in data mining and big data on important research questions in crime analytics. Because the field is so broad, the review focuses on a selection of the most important topics. Challenges for information management, and in turn law and society, include: AI-powered predictive policing; big data for legal and adversarial decisions; bias using big data and analytics in profiling and predicting criminality; forecasting crime risk and crime rates; and, regulating AI systems. This article is categorized under: Algorithmic Development > Spatial and Temporal Data Mining Fundamental Concepts of Data and Knowledge > Big Data Mining Technologies > Artificial Intelligence Application Areas > Data Mining Software Tools. © 2021 Wiley Periodicals LLC.
- Publisher
- John Wiley and Sons Inc
- Relation
- Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery Vol. 12, no. 2 (2022), p.
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2021 Wiley Periodicals LLC
- Rights
- Open Access
- Subject
- 4605 Data management and data science; Big data; Crime analytics; Data mining
- Full Text
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