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Title:
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A TOOL FOR ECONOMIC PLANS ANALYSIS BASED ON EXPERT KNOWLEDGE AND DATA MINING TECHNIQUES |
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Author(s):
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M. Baglioni , B. Furletti , F. Turini |
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ISBN:
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972-8924-09-7 |
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Editors:
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Nuno Guimarães, Pedro Isaías and Ambrosio Goikoetxea |
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Year:
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2006 |
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Edition:
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Single |
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Keywords:
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Knowledge Discovery, Classification, Bayesian Causal Maps. |
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Type:
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Short Paper |
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First Page:
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421 |
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Last Page:
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426 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The project introduces an application for the analysis of business documents, based on data mining techniques and expert knowledge. The application is an integrated tool that combines economic theory and computer science technology in order to evaluate business documents (BDs) of start-up companies in order to foresee the success/failure of innovative projects. The Expert knowledge, represented by means of Bayesian Causal Maps, is used to drive and improve the classification process that is the core of the prediction strategy provided (Baglioni et al., 2005). In case of a negative result (failure), the system is also able to investigate the causes and to give, if possible, a suggestion for improving the plan |
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