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Providing a Framework for Assessing and Evaluating Network Data Studies in the Fight Against Social Anomalies [PDF]
پژوهشنامه علم سنجیpurpose: In today's world, every society is struggling with the challenges of crime and its control. Committing a crime represents one of the most significant social harms, necessitating the involvement of police and judicial institutions for effective ...
Mohammad Khalili +2 more
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An Exploration of Crime Prediction Using Data Mining on Open Data [PDF]
International Journal of Information Technology & Decision Making, 2017 The increase in crime data recording coupled with data analytics resulted in the growth of research approaches aimed at extracting knowledge from crime records to better understand criminal behavior and ultimately prevent future crimes. While many of these approaches make use of clustering and association rule mining techniques, there are fewer ...
Ginger Saltos, Mihaela Cocea
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SURVEY ON CRIME ANALYSIS AND PREDICTION USING DATA MINING TECHNIQUES
ICTACT Journal on Soft Computing, 2017 Data Mining is the procedure which includes evaluating and examining large pre-existing databases in order to generate new information which may be essential to the organization. The extraction of new information is predicted using the existing datasets.
H Benjamin Fredrick David, A Suruliandi
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Alexandria Engineering Journal, 2021 Thanks to the development of the Internet of things (IoT) and edge computing, the smart cameras across cities provide a massive amount of image samples with time and location labels, laying a solid basis for deep mining of image information and in-depth ...
Zhe Li +3 more
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ISPRS International Journal of Geo-Information, 2018 Crowd-based events, such as football matches, are considered generators of crime. Criminological research on the influence of football matches has consistently uncovered differences in spatial crime patterns, particularly in the areas around stadia.
Alina Ristea +4 more
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Implementation of k-Medoids Clustering Algorithm to Cluster Crime Patterns in Yogyakarta
International Journal of Applied Sciences and Smart Technologies, 2019 The increase in crime from day to day needs to be a concern for the police, as the party responsible for security in the community. Crime prevention effort must be done seriously with all knowledge that they have.
Eduardus Hardika Sandy Atmaja
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ACM SIGKDD Explorations Newsletter, 2018 Urban safety and security play a crucial role in improving life quality of citizen and the sustainable development of urban. Traditional urban crime research focused on leveraging demographic data, which is insufficient to capture the complexity and dynamics of urban crimes.
Xiangyu Zhao 0001, Jiliang Tang
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Mining large-scale human mobility data for long-term crime prediction
EPJ Data Science, 2018 Traditional crime prediction models based on census data are limited, as they fail to capture the complexity and dynamics of human activity. With the rise of ubiquitous computing, there is the opportunity to improve such models with data that make for ...
Cristina Kadar, Irena Pletikosa
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Improvement of Criminal Identification by Smart Optimization Method [PDF]
MATEC Web of Conferences, 2019 Data-mining methods, which can be optimized via different methods, are applied in crime detection. This work, the decision tree algorithm is used for classifying and optimizing its structure with the smart method.
Razzaq Abdul Hussein Reem +2 more
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Wordnet-Based Criminal Networks Mining for Cybercrime Investigation
IEEE Access, 2019 Cybercriminals exploit the opportunities provided by the information revolution and social media to communicate and conduct underground illicit activities, such as online fraudulence, cyber predation, cyberbullying, hacking, blackmailing, and drug ...
Farkhund Iqbal +4 more
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