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

Autor:	Olson, Stacey, Little, Bertis B., Lovell, Ashley C.
Rok vydání:	2003
Předmět:	Risk and Uncertainty
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=od_______645::bc9197a27f4b74ea7cd127efd3db25fc http://purl.umn.edu/35223 Zobrazit plný text záznamu