Data di Pubblicazione:
2010
Abstract:
One of the main objectives of the European MUSING project is to design and test software tools in order to support the activities of small and medium sized businesses. In this paper we examine financial risk management and, more specifically, the self-assessment of business plans. The role of intangible assets is discussed, and we report on how intangible assets can be collected, how they can be represented, taking into account their semantic relationships, and how they can be used to build an analytical tool for business plans. The basic technology embedded in the tool is the construction of classification trees, a well-known technique in inductive learning. We show how using knowledge of intangible assets can improve the construction of the classifier, as proved by the testing carried out so far.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Bayesian causal map; Classification trees; Intangible assets; Qualitative analysis
Elenco autori:
Turini, Franco; Furletti, Barbara
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