USING DATA MINING TO DETECT ANOMALOUS PRODUCER BEHAVIOR: AN ANALYSIS OF SOYBEAN PRODUCTION AND THE FEDERAL CROP INSURANCE PROGRAM

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.


Issue Date:
2003
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/35223
Total Pages:
12
Series Statement:
Selected Paper




 Record created 2017-04-01, last modified 2017-08-25

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