USING DATA MINING TO DETECT ANOMALOUS PRODUCER BEHAVIOR: AN ANALYSIS OF SOYBEAN PRODUCTION AND THE FEDERAL CROP INSURANCE PROGRAM
Olson, Stacey; Little, Bertis B.; Lovell, Ashley C.
2003

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Abstract

The analysis was conducted on the USDA's Risk Management Agency insurance data and NRCS Land Resource Regions from 1994 - 2001 to assist RMA in improving program integrity. The objective is to develop a data-mining algorithm that identifies anomalous producers and counties within LRRs based upon the percentage of acres harvested.

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Title USING DATA MINING TO DETECT ANOMALOUS PRODUCER BEHAVIOR: AN ANALYSIS OF SOYBEAN PRODUCTION AND THE FEDERAL CROP INSURANCE PROGRAM
Author(s) Olson, Stacey
Little, Bertis B.
Lovell, Ashley C.
Subject(s)
Issue Date 2003
Publication Type Conference Paper/ Presentation
DOI and Other Identifiers 10.22004/ag.econ.35223
Record Identifier https://ageconsearch.umn.edu/record/35223
PURL Identifier http://purl.umn.edu/35223
Language English
Total Pages 12
Series Statement Selected Paper
Record Appears in Southern Agricultural Economics Association (SAEA) > 2003 Annual Meeting, February 1-5, 2003, Mobile, Alabama

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