Business plans classification with locally pruned lazy learning models

Sorjamaa, Antii;Lendasse, Amaury;François, Damien;Verleysen, Michel
(2004) Connectionist Approaches in Economics and Management Sciences (ACSEG 2004) — Location: Lille, France (18.November.2004)

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Authors
  • Sorjamaa, AntiiHelsinky University of Technology
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  • Lendasse, AmauryHelsinky University of Technology
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Abstract
A business plan is a document presenting in a concise form the key elements describing a perceived business opportunity. It is used among others as a tool for evaluating the feasibility and profitability of a project. In this paper, we study the relationship between business plan quality and venture success. In particular, a classification method using the information from the business plan is used in order to predict the success or the failure of each project. The classification method presented in this paper is based on a linear piecewise approximation method known as Locally Pruned Lazy Learning Model.
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Sorjamaa, A., Lendasse, A., François, D., & Verleysen, M. (2004). Business plans classification with locally pruned lazy learning models. Proceedings of ACSEG 2004, p. 112-119. https://hdl.handle.net/2078.5/226190