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- W2517342069 abstract "Creative entrepreneurship is considered an important factor in economic development achievement, specially in the knowledge-based society. Universities play a fundamental role in the process of entrepreneurial development and the entrepreneurship ecosystem.CCEEmprende is a program to support entrepreneurs developed by Facultad de Ciencias Económicas y de Administración - Universidad de la República, Uruguay. In this paper we present the use of data mining to improve decision making in entrepreneurship management, based on CCEEmprende projects data. A case study using several data mining and statistical techniques (association rules, decision trees, logistic regression) is developed with two goals: anticipating project success and identifying the most important factors related to project success/failure." @default.
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- W2517342069 date "2015-09-01" @default.
- W2517342069 modified "2023-09-25" @default.
- W2517342069 title "Data Mining Applications in Entrepreneurship Analysis" @default.
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- W2517342069 doi "https://doi.org/10.1109/dmia.2015.21" @default.
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