Key Papers
From FraudWiki
Contents |
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General
- Bolton and Hand - Statistical Fraud Detection: A Review
- Phua, Lee, Smith and Gayler - A Comprehensive Survey of Data Mining-based Fraud Detection Research
- Clifton Phua - A BibTex bibliography of Fraud Detection Research papers and Articles
- Aurobindo Sundaram - An Introduction to Intrusion Detection
- Emilie Lundin - Aspects of Employing Fraud and Intrusion Detection Systems
- Dean Abbott and Philip Matkovsky and John Elder - An Evaluation of High-end Data Mining Tools for Fraud Detection
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Outlier Detection and Peer Grouping
- Bolton and Hand - Peer Group Analysis – Local Anomaly Detection in Longitudinal Data
- Eskin - Anomaly Detection over Noisy Data using Learned Probability Distributions
- Ferdousi and Maeda - Unsupervised Outlier Detection in Time Series Data
- Hodge and Austin - A Survey of Outlier Detection Methodologies
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Support Vector Machines
- Hsu,Chang and Lin - A Practical Guide to Support Vector Classification
- Hu,Liano and Vemuri - Robust Anomaly Detection Using Support Vector Machines
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Link Analysis
- Goldberg and Wong - Restructuring Transactional Data for Link Analysis in the FinCEN AI System
- Lin and Chalupsky - Unsupervised Link Discovery in Multi-relational Data via Rarity Analysis
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ROC Analysis
- Peter Flach - The many faces of ROC analysis in machine learning this is the best overview you are likely to find
- Tom Fawcett - ROC Graphs: Notes and Practical Considerations for Researchers another very good overview
- Prati and Flach - ROCCER: A ROC convex hull rule learning algorithm
- Tom Fawcett - Convex Hull
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Insurance Fraud
Richard Derrig - Insurance Fraud Research Register
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See Also
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Other External Links
- Cite Seer Computer and Information Science Papers
- FreeFullText A good list of online academic titles and free resources
- Karl van-Meter - Terrorists/Liberators: Researching and Dealing with Adversary Social
- Charu Aggarwal and Jiawei Han and Philip Yu - Mining Dynamics of Data Streams in Multi-Dimensional Space
- Salh Alfuraih and Nien Sui and Dennis McLeod - Using Trusted Email to Prevent Credit Card Frauds in Multimedia Products
- Stephen Bay and Michael Pazzani - Detecting Group Differences: Mining Contrast Sets
- Peter Burge and John Shawe-Taylor and Yves Moreau and Bart Preneel - Fraud Detection and Management in Mobile Telecommunications Networks
- Michael Cahill and Fei Chen and Diane Lambert and Jose Pinheiro and - Detecting Fraud in the Real World
- Thayne Coffman and Seth Greenblatt and Sherry Marcus - Graph-based Technologies for Intelligence Analysis
- Nilesh Dalvi and Pedro Domingos and Mausam and Sumit Sanghai and - Proceedings of SIGKDD04
- Jose Dorronsoro and Carlos Cruz - bookTechnischer Bericht, Department of Computer Engineering, Universidad
- Kazuo Ezawa and Steven Norton - Constructing Bayesian Networks to Predict Uncollectible Telecommunications
- Tom Fawcett - "In Vivo" Spam Filtering: A Challenge Problem for KDD
- Tom Fawcett and Foster Provost - Proceedings of SIGKDD99
- Tom Fawcett and Foster Provost - Adaptive Fraud Detection
- Jeremy Frank - National Computer Security Conference
- Jaakko Hollm - User Profiling and Classification for Fraud Detection in Mobile Communications
- David Jensen and Matthew Rattigan and Hannah Blau - Proceedings of SIGKDD03
- Wenke Lee and Salvatore Stolfo and Kui Mok - Adaptive Intrusion Detection: A Data Mining Approach
- Richard Lippmann and David Fried and Isaac Graf and Joshua Haines - Proceedings of the DARPA Information Survivability Conference and
- Andreas Prodromidis - Management of Intelligent Learning Agents in Distributed Data Mining
- Jörg Schiller - The Impact of Insurance Fraud Detection Systems
- KA Taipale - Data Mining and Domestic Security: Connecting the Dots to Make Sense
- Jianyong Tuo and Shouju Ren and Wenhuang Liu and Xiu Li and Bing - Proceedings of IEEE Conference on Systems, Man and Cybernetics
- Haleh Vafaie and Dean Abbott and Mark Hutchins and Philip Matkovsky - Proceedings of 12th IEEE International Conference on Tools with Artificial
- Weng-Keen Wong - Data Mining for Early Disease Outbreak Detection
- Mark Zhang and John Salerno and Philip Yu - Proceedings of SIGKDD03
- Rahul Prakash Joshi Frauds in IT Sector
