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Monitoring key company events through deliberative learning

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Abstract

Recent scandals concerning the discovery of fraud committed by a few high profile companies has reinforced a need for innovative approaches to detecting fraudulent company behavior. Fraud detection experts agree that many of the critical clues to fraud, such as frequent management and auditor changes, can be found in qualitative sources such as news articles, press releases, and footnotes accompanying financial statements. This paper presents a simulated multi-agent system that learns how to collect valuable events from textual sources with pinpoint precision, utilizing the best content providers for each event type while minimizing the overall cost.

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Notes

  1. The Yahoo! News Website 2005, http://news.yahoo.com.

  2. The Factiva Website 2005, http://www.factiva.com.

  3. The Lexis-Nexis Website 2005, http://www.lexisnexis.com.

  4. The Wall Street Journal Website 2005, http://www.wallstreetjournal.com.

  5. Prices listed as quoted by representatives of the vendors in 2004.

  6. The TIPSTER Website 2005, http://www.itl.nist.gov/iaui/894.02/related_projects/tipster.

  7. Java Agent Development Framework, 2005. http://jade.tilab.com.

  8. University of Chicago. Repast 2.2. 2005, http://repast.sourceforge.net.

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Authors and Affiliations

  1. General Electric Global Research, One Research Circle, Niskayuna, NY, 12309, USA

    Christina LaComb, John Interrante & Kareem S. Aggour

Authors
  1. Christina LaComb
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  2. John Interrante
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  3. Kareem S. Aggour
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Corresponding author

Correspondence to Christina LaComb.

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LaComb, C., Interrante, J. & Aggour, K.S. Monitoring key company events through deliberative learning. ISeB 5, 295–317 (2007). https://doi.org/10.1007/s10257-006-0044-7

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  • DOI: https://doi.org/10.1007/s10257-006-0044-7

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