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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   +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   +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   +4 more
openaire   +1 more source

Crime data mining as a decision making tool

International Journal of Public Policy, 2010
The first part of this paper provides an overview of need for efficient decision-making tools in different public and private sectors. Data mining has been offered as a decision support tool particularly for criminal justice system. Advantages and disadvantages of various data mining tools were discussed in terms of informatics research background ...
Tasdoven, Hidayet, Sahin, Bahadir
openaire   +2 more sources

An Analysis of Data Mining Applications in Crime Domain

2008 IEEE 8th International Conference on Computer and Information Technology Workshops, 2008
In this paper, we give comprehensive surveys of efficient and effective methods/techniques on data mining for crime data analysis. These techniques aim at finding the illegal activities of professional identity fraudsters based on knowledge discovered from their own histories.
P. Thongtae, S. Srisuk
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   +3 more
openaire   +1 more source

Intelligent Automation of Crime Prediction using Data Mining

2022 IEEE 31st International Symposium on Industrial Electronics (ISIE), 2022
Abdullah Hussein Al-Ghushami   +3 more
openaire   +1 more source

Themes in data mining, big data, and crime analytics

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2022
Giles Oatley
exaly  

Crime Data Mining Based on Extension Classification

2012
The problem of knowledge management in the knowledge intensive and time critical environment of police department has posed an interesting problem for information technology professionals in the field. In this paper, we propose an extension formal analysis algorithm for maintaining temporal association rules with cooperative numerical attributes by ...
openaire   +1 more source

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