Changed by: Tom Fawcett, 23-Jul-1997
8:30 -- 8:50Introductory Remarks
8:50 -- 9:20Prospective Assessment of AI Technologies for Fraud Detection: A Case Study (Jensen)
9:25 - 9:55Break Detection Systems (Goldberg and Senator)
10:00 - 10:25Coffee Break
Technical Session 1
10:25 - 10:50Detecting Cellular Fraud Using Adaptive Prototypes (Burge and Shawe-Taylor)
10:50 - 11:15Sequence Matching and Learning in Anomaly Detection for Computer Security (Lane and Brodley)
11:15 - 11:40Intrusion Detection with Neural Networks (Ryan, Lin and Miikkulainen)
11:40 - 12:00Discussion
12:00 - 1:00LUNCH
Technical Session 2
1:00 - 1:25A Multi-Agent Systems Approach for Fraud Detection in Personal Communication Systems (Abu-Hakima, Toloo and White)
1:25 - 1:50Clustering and Prediction for Credit Line Optimization (Haimowitz and Schwarz)
1:50 - 2:15Analysis and Visualization of Classifier Performance with Nonuniform Class and Cost Distributions (Provost and Fawcett)
2:15 - 2:30BREAK
Technical Session 3
2:30 - 2:55JAM: Java Agents for Meta-Learning over Distributed Databases (Stolfo, Prodromidis, Tselepis, Lee, Fan and Chan)
2:55 - 3:20Credit Card Fraud Detection Using Meta-Learning: Issues and Initial Results (Stolfo, Fan, Lee, Prodromidis and Chan)
3:20 - 4:10Summary/Synthesis (Provost)
4:10 - 4:30Coffee Break
4:30 - 5:10Panel: Detecting Consumer Risk and Fraud: Privacy versus Accuracy and Payoff
5:10 - 5:30Discussion
5:30 - 5:45Wrap-up

  1. This schedule is more-or-less final and is unlikely to change.
  2. "Coffee Break" means a AAAI-specified break (with coffee, pastries, etc.) which all the workshops take together. A "BREAK" is just for this workshop.)


Detecting Consumer Risk and Fraud: Privacy versus Accuracy and Payoff

As we in the corporate world know, the more information we have on consumers, the more accurate our predictions can be of bad credit risks, and potential fraud. However, not all information is legal or ethical to collect and use. Please try to answer the following questions as they relate to your work:

Suggested reading is the NY Times article on Front page and B14 of Thursday June 12,1997, entitled On Frontier of Cyberspace, Data is Money, and a Threat.
Tom Fawcett <>
Changed by: Tom Fawcett, 23-Jul-1997