Results 221 to 230 of about 2,819 (256)

Mining Twitter data for crime trend prediction

Intelligent Data Analysis, 2018
While conventional crime prediction methods rely on historical crime records and geographical information of the location of interest, we pursue the question of whether a social media context can provide socio-behavior “signals” for a crime prediction problem.
Somayyeh Aghababaei, Masoud Makrehchi
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Application of Social Big Data in Crime Data Mining

2021
The increased fame of the Internet and technology has motivated criminals a lot to commit their evil actions with the help of its various facilities such as social media, e-commerce and so on. Nowadays, almost everything exists on the Internet either to store or to access personal as well as professional data.
Nahid Jabeen, Parul Agarwal
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Adaptive Query Interface for Mining Crime Data

2007
In present day scenario, law enforcement agencies are looked upon not only to control crime but also to analyze the crime so that future occurrences of similar incidents can be overcome. There is need for user interactive interfaces based on current technologies to meet and fulfill the new emerging responsibilities and tasks of the Police.
B. Chandra 0001, Manish Gupta 0005, M. P. Gupta 0001   +2 more
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Data mining time series with applications to crime analysis

2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236), 2002
This paper is a study of methods of predicting the number of breaking and enterings (B&Es) in subcity regions of Richmond, Virginia. In this study, predictions are made for B&Es in each of four precincts as well as in regions measuring approximately 0.64 square miles.
Donald E. Brown, Rosemary B. Oxford
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Crime Data Mining

2007
Solving crimes is a complex task and requires a lot of experience. Data mining can be used to model crime detection problems. The idea here is to try to capture years of human experience into computer models via data mining. Crimes are a social nuisance and cost our society dearly in several ways.
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MANAGING DATA MINING AT DIGITAL CRIME INVESTIGATION

Forensic Science International, 2004
‘‘Data Mining’’ has been loosely defined, by Daniel Barbara and Sushil Jajodia, as the process of extracting information from large amount of data. This is a general term with no concern with computers, digital systems, etc., however, technical definitions are concern with them.
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Discrimination prevention in data mining for intrusion and crime detection

2011 IEEE Symposium on Computational Intelligence in Cyber Security (CICS), 2011
Automated data collection has fostered the use of data mining for intrusion and crime detection. Indeed, banks, large corporations, insurance companies, casinos, etc. are increasingly mining data about their customers or employees in view of detecting potential intrusion, fraud or even crime.
Sara Hajian, Josep Domingo-Ferrer, Antoni Martínez-Ballesté   +2 more
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Application of Data Mining for Crime Analysis

2015
Data mining can be considered as a powerful tool that enables low enforcement and emergency agencies to discovery meaningful patterns in a large amount of danger situation. In this paper, we propose a data mining framework for predicting crimes. The proposed framework consists of the following modules: test data generation, classification, clustering ...
Aziz Nasridinov, Jeong-Yong Byun, Namkyoung Um, HyunSoon Shin   +3 more
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Survey of Data Mining Techniques on Crime Data Analysis

International Journal of Data Mining Techniques and Applications, 2012
Data mining is a process of extracting knowledge from huge amount of data stored in databases, data warehouses and data repositories. Crime is an interesting application where data mining plays an important role in terms of prediction and analysis. Clustering is the process of combining data objects into groups.
Revatthy Krishnamurthy, J. Satheesh Kumar   +1 more
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Application of Data Mining for Analysis and Prediction of Crime

2020
Crime is a significant component of every society. Its costs and consequences touch just about everyone to a remarkable extent. About 10% of the culprits commit about 50% of the crimes (Nath in Crime Pattern Detection Using Data Mining. IEEE, 2006, [4]). Explorations that aid in resolving violations quicker will compensate for itself.
Vaibhavi Shinde, Yash Bhatt, Sanika Wawage, Vishal Kongre, Rashmi Sonar   +4 more
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