Results 211 to 220 of about 2,788 (241)

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
openaire   +1 more source

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.
openaire   +1 more source

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
openaire   +1 more source

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
openaire   +1 more source

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
openaire   +1 more source

Applying Data Mining techniques in Cyber Crimes

2017 2nd International Conference on Anti-Cyber Crimes (ICACC), 2017
Globally the internet is been accessed by enormous people within their restricted domains. When the client and server exchange messages among each other, there is an activity that can be observed in log files. Log files give a detailed description of the activities that occur in a network that shows the IP address, login and logout durations, the user ...
Mohiuddin Ali Khan, Sateesh Kumar Pradhan, Huda Fatima   +2 more
openaire   +1 more source

Identity Crime Detection Using Data Mining

2017 3rd International Conference on Computational Intelligence and Networks (CINE), 2017
Identity Crime is considered as crimes which involve masquerading one's identity and steal confidential information with respect to the concerned person's identity. This paper mainly deals with identity crime related to credit card application, which nowadays is quite prevalent and costly even.
Sharmistha Dutta, Ankit Kumar Gupta, Neetu Narayan   +2 more
openaire   +1 more source

Big Data Analytics and Mining for Crime Data Analysis, Visualization and Prediction

2018
Crime analysis and prediction is a systematic approach for analyzing and identifying different patterns, relations and trends in crime. In this paper we conduct exploratory data analysis to analyze criminal data in San Francisco, Chicago and Philadelphia. We first explored time series of the data, and forecast crime trends in the following years.
Mingchen Feng, Jiangbin Zheng 0001, Yukang Han, Jinchang Ren, Qiaoyuan Liu   +4 more
openaire   +1 more source

The Use of Data Mining Techniques in Operational Crime Fighting

2004
This paper looks at the application of data mining techniques, principally the Self Organising Map, to the recognition of burglary offences committed by an offender who, although part of a small network, appears to work on his own. The aim is to suggest a list of currently undetected crimes that may be attributed to him, improve on the time taken to ...
openaire   +1 more source

Crime Branch Associated with Big Data and Data Mining

2020
Data analytics is the art of analyzing raw massive data in order to draw conclusions or to forecast or to keep a track of current trends exists in a particular field.
Jagadeesh, Brinda, Naik, Divya S., Gopinath, Aishwarya, Kumar, D. Pradeep   +3 more
openaire   +1 more source