Cri-Astrologer: Predicting Demography of Involved Criminals based on Historical Data
Author:
Affiliation:
1. Computer Science and Engineering, Bangladesh University of Engineering and Technology, Bangladesh
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3569551.3569561
Reference38 articles.
1. Lynn A. Addington . 2019. NIBRS as the New Normal: What Fully Incident-Based Crime Data Mean for Researchers . Springer International Publishing , Cham , 21–33. https://doi.org/10.1007/978-3-030- 2077 9-3_2 10.1007/978-3-030-20779-3_2 Lynn A. Addington. 2019. NIBRS as the New Normal: What Fully Incident-Based Crime Data Mean for Researchers. Springer International Publishing, Cham, 21–33. https://doi.org/10.1007/978-3-030-20779-3_2
2. Prediction of Crime in Neighbourhoods of New York City using Spatial Data Analysis
3. Evaluation of bidirectional LSTM for short-and long-term stock market prediction
4. Bayesian Network Modeling of Offender Behavior for Criminal Profiling
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