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Data Mining of Franchise Failure by Brand

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dc.contributor.author Lin, Tingwei
dc.date.accessioned 2016-05-25T15:18:16Z
dc.date.available 2016-05-25T15:18:16Z
dc.date.issued 2016-04-01
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/1637
dc.description.abstract The SBA (Small Business Administration) offered a list of failure rates of small business loans sorted by franchise brands from 2001 to 2011. This is a collection of data of over 580 franchise brands who fail to pay back general SBA 7(a), real estate and equipment loans. Franchisee loan pay-back rates are tracked by brand for the ten-year period. Ideally, to be informed about where to put one's money, a franchise buyer should look at the profit of a brand's average store and compare the rate of return on the investment with all other brands' returns on investments. The purpose of this project is mining the relationship between the attributes in the dataset and offers a reference to the SBA about which kind of brand franchise worth a loan. And the failure percent of a brand can be accurately predicted with the program. Thus, the risk of loaning would be reduced and the percentage of success case could be guaranteed in a certain extent. en_US
dc.language.iso en_US en_US
dc.subject Data mining en_US
dc.subject Failure en_US
dc.subject Franchise brands en_US
dc.title Data Mining of Franchise Failure by Brand en_US
dc.type Presentation en_US
dc.institute.department School of Engineering en_US
dc.institute.name University of Bridgeport en_US
dc.event.location Bridgeport, CT en_US
dc.event.name Faculty Research Day en_US

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