Zhang_Qian_PresentationFinal
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The document describes VALET, a visual analytics toolkit for police patrolling. It consists of 4 steps: 1) predicting crime patterns based on historical data, 2) ranking officer performance, 3) proposing a patrolling schedule by allocating officers to crime hotspots, and 4) designing a visual analysis system to explore patrol schedules. The system aims to improve work efficiency by matching officer specialties to predicted crime types and proposing intelligent patrol routes to optimize resource allocation.
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The document discusses using machine learning algorithms to predict crime type and occurrence based on location and time using crime data. It proposes using linear regression, decision tree, and random forest models which tended to give good accuracy in previous works. The system would take crime types as input and output the areas where crimes are committed. It claims this approach provides high prediction accuracy compared to existing methods.
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Crime Data Analysis, Visualization and Prediction using Data Mining
This paper presents a general idea about the
model of Data Mining techniques and diverse crimes. It also
provides an inclusive survey of competent and valuable
techniques on data mining for crime data analysis. The
objective of the data mining is to recognize patterns in
criminal manners in order to predict crime anticipate
criminal activity and prevent it. This project implements a
novel data mining techniques like KNN, Text Clustering, IR
tree for investigating the crime data sets and sorts out the
accessible problems. The collective knowledge of various
data mining algorithms tend certainly to afford an
enhanced, incorporated, and precise result over the crime
prediction in the banking sectors Our law enforcement
organizations require to be adequately outfitted to defeat
and prevent the crime. This project is developed using Java
as front-end and MySQL as back-end. Supporting
applications like Sunset, NetBeans are used to make the
portal more interactive.
The International Journal of Engineering and Science (IJES)
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
Comparison of Data Mining Techniques used in Anomaly Based IDS
This document discusses anomaly-based intrusion detection systems and compares various data mining techniques used in these systems. It begins by defining intrusion detection systems and the two main categories of misuse detection and anomaly detection. Anomaly detection involves learning normal patterns from data and detecting deviations from these patterns as potential anomalies or intrusions.
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Predictive Modeling for Topographical Analysis of Crime Rate
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I Dunderstn
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Zhang_Qian_PresentationFinal
- 1. VALET Visual Analytics Law Enforcement Toolkit Police Patrolling Qian Zhang, Guizhen Wang, Jieqiong Zhao, Abish Malik, David S. Ebert Purdue University Visual Analytics for Command, Control, and Interoperability Environments 1
- 2. 2VALET – Motivation and Objective Crime pattern - temporal and spatial distribution 7 am – 3 pm Monday 11 pm – 7 am Monday (6/1/16 – 6/9/16) Officer scheduling - Shift preference - Effectiveness • Predict crime occurrence pattern based on historical data • Analyze officer historical performance • Propose patrolling schedule and allocate police resource • Design visual analysis system of police patrol scheduling
- 3. 3VALET – Police Patrolling Workflow 1. • Crime Prediction 2. • Officer Performance Ranking 3. • Schedule & Allocation 4. • Visual Analysis System Design
- 4. VALET – Crime Prediction 4 • Prevalent offense types Determine prevalent offense types based on frequencies • Crime hotspots & Contours Extract hotspot region through Contours[1] 6/1 – 7/28 7:00 am – 3:00 pm • Crime Prediction Predict crime occurrence for future days 3/1/2013 7:00 am-3:00pm [1] Maple, C. (2003). "Geometric design and space planning using the marching squares and marching cube algorithms". Proc. 2003 Intl. Conf. Geometric Modeling and Graphics: 90–95. doi:10.1109/GMAG.2003.1219671
- 5. VALET – Officer Performance Ranking 5 Rank officer performance based on the number of handled cases for a specific offense type within a given time period Trespassing Fraud Theft • Setup RESTful web API • Extract officer information from historical crime data • Summarize the officer performance across prevalent offenses Prevalent offense types
- 6. 6VALET – Schedule & Allocation • Proposed methods: • Aggregate hotspots into clusters[2] • Measure the offense occurrence distribution over every cluster • Define the penalty function to assign one officer to one cluster • Assign officers to the potentially matched clusters • Minimal spanning tree • Patrol scheduling constraints: • Police officers : • Balanced workload, no continuous shifts • Various cluster sizes • Optimization • Minimize the mismatch between officers and hotspots [2] Ester, Martin; Kriegel, Hans-Peter; Sander, Jörg; Xu, Xiaowei . Simoudis, Evangelos; Han, Jiawei; Fayyad, Usama M., eds. A density-based algorithm for discovering clusters in large spatial databases with noise. Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96). AAAI Press. pp. 226–231. ISBN 1-57735-004-9. CiteSeerX: 10.1.1.121.9220 Cluster 1 Cluster 2 Cluster 3 Cluster 4
- 7. 7VALET – Visual Analysis System Design Assign officers to patrol routes based on the matching measurement between predicted offense type and officers’ specialty • Interactive exploration of patrol schedules • Patrol shifts, days, officer assignments • Brushing-and-linking with the map view
- 8. 8VALET – Visual Analysis System Design Map view Schedule view Time tool Patrolling controller Offense rank list Hotspot controller
- 9. 9 • Propose a visual analysis system for exploration • Improve work efficiency- by matching officer specialty with predicted crime types VALET – Results and Conclusions • Propose police patrol scheduling- by designing intelligent patrol routes Demo: http://pixel.ecn.purdue.edu:8080/~wang1908/police_patrol/