Yuhas, B. P. (1993). Toll-fraud detection. In J. Alspector, R. Goodman, and T. Brown (Eds.), Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications, Hillsdale, NJ, pp. 239--244. Lawrence Erlbaum Associates. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Adaptive Fraud Detection - Fawcett, Foster (1997) (40 citations) (Correct)
....of fraud episodes in order to generate features (measures) that distinguish fraudulent from legitimate behavior. To the best of our knowledge, no published anomaly detection system does this. Calling card fraud and credit card fraud are other forms of superimposition fraud. A system built by Yuhas (1993, 1995) examines a set of records representing callingcard validation queries to identify queries corresponding to fraudulent card usage. Yuhas transformed the problem into a two class discrimination task and trained several machine learning models on the data. All three models had comparable 24 ....
Yuhas, B. P. (1993). Toll-fraud detection. In J. Alspector, R. Goodman, and T. Brown (Eds.), Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications, Hillsdale, NJ, pp. 239--244. Lawrence Erlbaum Associates.
Combining Data Mining and Machine Learning for Effective User.. - Tom Fawcett (1996) (11 citations) (Correct)
....cost classification occurred at an accuracy somewhat lower than optimal. In other words, some classification accuracy could be sacrificed to decrease cost. More sophisticated methods could be used to produce cost sensitive classifiers, which would probably produce better results. Related Work Yuhas (1993) and Ezawa and Norton (1995) address the problem of uncollectible debt in telecommunications services. However, neither work deals with characterizing typical customer behavior, so mining the data to derive profiling features is not necessary. Ezawa and Norton s method of evidence combining is ....
Yuhas, B. P. 1993. Toll-fraud detection. In Alspector, J.; Goodman, R.; and Brown, T., eds., Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications, 239--244. Hillsdale, NJ: Lawrence Erlbaum Associates.
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