Enhanced hypertext categorization using hyperlinks
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Mining the network value of customers
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Expectation Propagation for approximate Bayesian inference
UAI '01 Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence
Benchmarking Anomaly-Based Detection Systems
DSN '00 Proceedings of the 2000 International Conference on Dependable Systems and Networks (formerly FTCS-30 and DCCA-8)
Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Graph-based relational learning: current and future directions
ACM SIGKDD Explorations Newsletter
Orange: from experimental machine learning to interactive data mining
PKDD '04 Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases
Relevance search and anomaly detection in bipartite graphs
ACM SIGKDD Explorations Newsletter
Data Mining techniques for the detection of fraudulent financial statements
Expert Systems with Applications: An International Journal
A study in using neural networks for anomaly and misuse detection
SSYM'99 Proceedings of the 8th conference on USENIX Security Symposium - Volume 8
Real-time credit card fraud detection using computational intelligence
Expert Systems with Applications: An International Journal
Association rules applied to credit card fraud detection
Expert Systems with Applications: An International Journal
Auto claim fraud detection using Bayesian learning neural networks
Expert Systems with Applications: An International Journal
On the Foundations of Relaxation Labeling Processes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Consolidated tree classifier learning in a car insurance fraud detection domain with class imbalance
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
Reputation inflation detection in a Chinese C2C market
Electronic Commerce Research and Applications
Improving customer retention in financial services using kinship network information
Expert Systems with Applications: An International Journal
Mining dense structures to uncover anomalous behaviour in financial network data
MSM'11 Proceedings of the 2011 international conference on Modeling and Mining Ubiquitous Social Media
A survey of multiple classifier systems as hybrid systems
Information Fusion
Hi-index | 12.05 |
The article proposes an expert system for detection, and subsequent investigation, of groups of collaborating automobile insurance fraudsters. The system is described and examined in great detail, several technical difficulties in detecting fraud are also considered, for it to be applicable in practice. Opposed to many other approaches, the system uses networks for representation of data. Networks are the most natural representation of such a relational domain, allowing formulation and analysis of complex relations between entities. Fraudulent entities are found by employing a novel assessment algorithm, Iterative Assessment Algorithm (IAA), also presented in the article. Besides intrinsic attributes of entities, the algorithm explores also the relations between entities. The prototype was evaluated and rigorously analyzed on real world data. Results show that automobile insurance fraud can be efficiently detected with the proposed system and that appropriate data representation is vital.