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Using Ethnography To Design a Mass Detection Tool(MDT) For The Early Discovery of Insurance Fraud.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

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Using Ethnography To Design a Mass Detection Tool(MDT) For The Early Discovery of Insurance Fraud. / Ormerod, Thomas C.; Morley, Nicola J.; Ball, Linden J. et al.
CHI 2003: New Horizons Extended Abstracts. ed. / G. Cockton. New York: ACM Press, 2003.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Harvard

Ormerod, TC, Morley, NJ, Ball, LJ, Langley, C & Spenser, C 2003, Using Ethnography To Design a Mass Detection Tool(MDT) For The Early Discovery of Insurance Fraud. in G Cockton (ed.), CHI 2003: New Horizons Extended Abstracts. ACM Press, New York.

APA

Ormerod, T. C., Morley, N. J., Ball, L. J., Langley, C., & Spenser, C. (2003). Using Ethnography To Design a Mass Detection Tool(MDT) For The Early Discovery of Insurance Fraud. In G. Cockton (Ed.), CHI 2003: New Horizons Extended Abstracts ACM Press.

Vancouver

Ormerod TC, Morley NJ, Ball LJ, Langley C, Spenser C. Using Ethnography To Design a Mass Detection Tool(MDT) For The Early Discovery of Insurance Fraud. In Cockton G, editor, CHI 2003: New Horizons Extended Abstracts. New York: ACM Press. 2003

Author

Ormerod, Thomas C. ; Morley, Nicola J. ; Ball, Linden J. et al. / Using Ethnography To Design a Mass Detection Tool(MDT) For The Early Discovery of Insurance Fraud. CHI 2003: New Horizons Extended Abstracts. editor / G. Cockton. New York : ACM Press, 2003.

Bibtex

@inbook{13a0ed1c8141410892e36d5be9c88f77,
title = "Using Ethnography To Design a Mass Detection Tool(MDT) For The Early Discovery of Insurance Fraud.",
abstract = "We describe a Mass Detection Tool (MDT) for early detection of insurance fraud. Ethnography was used to specify needs and process, capture expertise, and design an interface for triggering fraud indicators while capturing unexpected anomalies detected by claims handlers. The MDT uses a dynamic Bayesian Belief Network of fraud indicators, whose weights are determined by how predictive each indicator is of specific types of fraud. The system uses automated knowledge updating to keep pace with dynamically changing fraud, adding new indicators that emerge from patterns of repeated anomalies.",
keywords = "Ethnography, Bayesian belief networks, Insurance, Fraud detection, Automated knowledge updating.",
author = "Ormerod, {Thomas C.} and Morley, {Nicola J.} and Ball, {Linden J.} and Charles Langley and Clive Spenser",
year = "2003",
language = "English",
editor = "G. Cockton",
booktitle = "CHI 2003: New Horizons Extended Abstracts",
publisher = "ACM Press",

}

RIS

TY - CHAP

T1 - Using Ethnography To Design a Mass Detection Tool(MDT) For The Early Discovery of Insurance Fraud.

AU - Ormerod, Thomas C.

AU - Morley, Nicola J.

AU - Ball, Linden J.

AU - Langley, Charles

AU - Spenser, Clive

PY - 2003

Y1 - 2003

N2 - We describe a Mass Detection Tool (MDT) for early detection of insurance fraud. Ethnography was used to specify needs and process, capture expertise, and design an interface for triggering fraud indicators while capturing unexpected anomalies detected by claims handlers. The MDT uses a dynamic Bayesian Belief Network of fraud indicators, whose weights are determined by how predictive each indicator is of specific types of fraud. The system uses automated knowledge updating to keep pace with dynamically changing fraud, adding new indicators that emerge from patterns of repeated anomalies.

AB - We describe a Mass Detection Tool (MDT) for early detection of insurance fraud. Ethnography was used to specify needs and process, capture expertise, and design an interface for triggering fraud indicators while capturing unexpected anomalies detected by claims handlers. The MDT uses a dynamic Bayesian Belief Network of fraud indicators, whose weights are determined by how predictive each indicator is of specific types of fraud. The system uses automated knowledge updating to keep pace with dynamically changing fraud, adding new indicators that emerge from patterns of repeated anomalies.

KW - Ethnography

KW - Bayesian belief networks

KW - Insurance

KW - Fraud detection

KW - Automated knowledge updating.

M3 - Chapter

BT - CHI 2003: New Horizons Extended Abstracts

A2 - Cockton, G.

PB - ACM Press

CY - New York

ER -