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Abstract: In this paper we describe the results achieved using the JAM distributed data mining system for the real world problem of fraud detection in financial information systems. For this domain we provide clear evidence that state-of-the-art commercial fraud detection systems can be substantially improved in stopping losses due to fraud by combining multiple models of fraudulent transaction shared among banks. We demonstrate that the traditional statistical metrics used to train and evaluate the... (Update)
Context of citations to this paper: More
...be used to determine whether or not the system is valuable enough to employ countermeasures to stop an intrusion. Lee and Stolfo s [20, 21] research of cost modeling for network intrusion detection systems follows a risk analysis procedure to select sensitive data assets and...
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BibTeX entry: (Update)
S. Stolfo etal, Cost-Based Modeling for Fraud and Intrusion Detection Results from the JAM Project, Technical Report, Columbia University. http://citeseer.ist.psu.edu/244959.html More
@misc{ etal-costbased,
author = "S. etal",
title = "Cost-Based Modeling for Fraud and Intrusion Detection Results from the
JAM Project",
text = "S. Stolfo etal, Cost-Based Modeling for Fraud and Intrusion Detection Results
from the JAM Project, Technical Report, Columbia University.",
url = "citeseer.ist.psu.edu/244959.html" }
Citations (may not include all citations):921 Mining association rules between sets of items in large data.. - Agrawal, Imielinski et al. - 1993
910 Fast algorithms for mining association rules - Agrawal, Srikant - 1994
367 Stacked generalization - Wolpert - 1992
248 Fast effective rule induction - Cohen - 1995
214 Improved boosting algorithms using confidence-rated predicti.. - Schapire, Singer - 1998
189 Discovering frequent episodes in sequences (context) - Mannila, Toivonen et al. - 1995
86 JAM: Java agents for meta-learning over distributed database.. - Stolfo, Prodromidis et al. - 1997
85 Discovering generalized episodes using minimal occurrences - Mannila, Toivonen - 1996
84 Data mining approaches for intrusion detection - Lee, Stolfo - 1998
70 A data mining framework for building intrusion detection mod.. - Lee, Stolfo et al. - 1999
54 Cost-sensitive classification: Empirical evaluation of a hyd.. - Turney - 1995
54 Meta-learning for multistrategy and parallel learning (context) - Chan, Stolfo - 1993
29 Credit card fraud detection using metalearning: Issues and i.. - Stolfo, Fan et al. - 1997
28 Adacost: Misclassification cost-sensitive boosting - Fan, Stolfo et al. - 1999
26 Sharing learned models among remote database partitions by l.. - Chan, Stolfo - 1996
25 Learning patterns from unix process execution traces for int.. - Lee, Stolfo et al. - 1997
19 Mining in a data-flow environment: Experience in network int.. - Lee, Stolfo et al. - 1999
10 Mining databases with different schemas: Integrating incompa.. - Prodromidis, Stolfo - 1998
9 Agentbased fraud and intrusion detection in financial inform.. - Stolfo, Fan et al. - 1998
9 Agent-based distributed learning applied to fraud detection - Prodromidis, Stolfo - 1999
8 Query handling and learning in a distributed intelligent sys.. (context) - Maitan, Ras et al. - 1989
7 Answering non-standard queries in distributed knowledge-base.. - Ras - 1998
6 Scaling learning by metalearning over disjoint and partially.. - Chan, Stolfo - 1996
6 A comparative evaluation of meta-learning strategies over la.. - Prodromidis, Stolfo - 1999
4 Toward scalable and parallel learning: A case study in splic.. (context) - Chan, Stolfo - 1994
3 Economic induction: A case study (context) - Nunez - 1988
3 Learning with non-uniform distributions: Effects and a multi.. (context) - Chan, Stolfo - 1999
2 Two case studies in costsensitive concept acquition (context) - Tan, Schlimmer - 1990
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