Results 21 to 30 of about 2,788 (241)
Darknet Data Mining -- A Canadian Cyber-crime Perspective
CoRR, 2021 13 pages, 19 figures, Honours Bachelors Capstone Project.
Edward Crowder, Jay Lansiquot
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Crime Pattern Detection Using Data Mining [PDF]
2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, 2006 Data mining can be used to model crime detection problems. Crimes are a social nuisance and cost our society dearly in several ways. Any research that can help in solving crimes faster will pay for itself. About 10% of the criminals commit about 50% of the crimes. Here we look at use of clustering algorithm for a data mining approach to help detect the
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Applying data mining in investigating money laundering crimes [PDF]
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, 2003 In this paper, we study the problem of applying data mining to facilitate the investigation of money laundering crimes (MLCs). We have identified a new paradigm of problems --- that of automatic community generation based on uni-party data, the data in which there is no direct or explicit link information available. Consequently, we have proposed a new
Zhongfei (Mark) Zhang +2 more
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Process Modeling and Extraction of Patterns of Computer Crimes Using Data Mining [PDF]
Computer Science Journal of Moldova, 2020 The main purpose of this research is to model the process and extract patterns of computer crime using data mining and employing MATLAB software for data modeling. The results have been simulated and presented graphically.
Abbas Karimi +3 more
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Tax Fraud Reduction Using Analytics in an East European Country
Axioms, 2023 Tax authorities face the challenge of effectively identifying companies that avoid paying taxes, which is not unique to European Union countries. Limited resources often constrain tax administrators, who traditionally rely on time-consuming and labour ...
Tomas Ruzgas +5 more
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Spatio-Temporal Crime HotSpot Detection and Prediction: A Systematic Literature Review
IEEE Access, 2020 The primary objective of this study is to accumulate, summarize, and evaluate the state-of-the-art for spatio-temporal crime hotspot detection and prediction techniques by conducting a systematic literature review (SLR). The authors were unable to find a
Umair Muneer Butt +5 more
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Exploration of the Hidden Influential Factors on Crime Activities: A Big Data Approach
IEEE Access, 2020 Crime activities have long been a great concern of all the countries. Analysis of crime data has been a key part yet a considerable challenge for discovering crime patterns and reducing crimes.
Jianming Zhou +3 more
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User Identification Framework in Social Network Services Environment [PDF]
Informatică economică, 2014 Social Network Service is a one of the service where people may communicate with one an-other; and may also exchange messages even of any type of audio or video communication. Social Network Service as name suggests a type of network.
Brijesh BAKARIYA, G.S. THAKUR
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AN OVERVIEW OF DATA MINING FOR COMBATING CRIME
Applied Artificial Intelligence, 2012 Artificial Intelligence AI and Law has been a burgeoning domain since the 1980s, but it was not until the 2000s that models of reasoning about legal evidence started to feature prominently. With regard to data mining, it has been applied to legal databases, as well as to law enforcement.
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Comparing Data Mining Classification for Online Fraud Victim Profile in Indonesia
Intensif: Jurnal Ilmiah Penelitian Teknologi dan Penerapan Sistem Informasi, 2023 Classification is one of the most often employed data mining techniques. It focuses on developing a classification model or function, also known as a classifier, and predicting the class of objects whose class label is unknown. Categorizing applications
Sunardi Sunardi +2 more
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