Ongoing management and application of discovered knowledge in a large regulatory organization: A case study of the use and impact of NASD regulation's Advanced Detection System (ADS)

Proceeding of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2000, Pages 44-53

  Senator, Ted E ^a  

^a NASD Regulation Inc   (United States)

Author keywords

Case Study; Fraud Detection; KDD Application; KDD Process; Knowledge Management

Indexed keywords

DATA MINING; DATA WAREHOUSES; PATTERN MATCHING; SOCIETIES AND INSTITUTIONS;

ADVANCED DETECTION SYSTEMS (ADS);

KNOWLEDGE BASED SYSTEMS;

EID: 0034592921     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Fawcett, Tom and Provost, Foster., "Activity Monitoring: Noticing Interesting Changes in Behavior," in Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-99), pp. 53-62, ACM, 1999.
2. Fayyad, Usama et. al., "Knowledge Discovery and Data Mining: Towards a Unifying Framework," in Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), pp. 82-88, AAAI Press, 1996.
3. Goldberg, Henry G. and Senator, Ted E., "Break Detection Systems" in AI Approaches to Fraud Detection and Risk Management, Technical Report WS-97-07, AAAI Press, 1997.
4. Jensen, David, "Unique Challenges of Managing Inductive Knowledge," in AI and Knowledge Management. AAAI Technical Report WS-97-09, AAAI Press, 1997.
5. Kirkland, James D., Senator, Ted E., et. al., "The NASD Regulation Advanced Detection System (ADS)," AI Magazine 20(1):55-67, 1999.
6. Piatesky-Shapiro, Gregory, et. al., "An Overview of Issues in Developing Data Mining and Knowledge Discovery Applications," in Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), pp. 89-95, AAAI Press, 1996.
7. Senator, Ted E. and Goldberg, Henry G., "Break Detection Systems." To appear in W. Kloesgen and J. Zytkow (eds.), Handbook of Knowledge Discovery and Data Mining, 2000.