A Beta-Cooperative CBR System for Constructing a Business Management Model
Fecha de publicación
Springer Science + Business Media
Lecture Notes in Computer Science Advances in Data Mining. Lecture Notes in Computer Science. Volumen 3275, pp. 42-49.
Knowledge has become the most strategic resource in the new business environment. A case-based reasoning system has been developed for identifying critical situations in business processes. The CBR system can be used to categorize the necessities for the Acquisition, Transfer and Updating of Knowledge of the different departments of a firm. This technique is used as a tool to develop a part of a Global and Integral Model of Business Management, which brings about a global improvement in the firm, adding value, flexibility and competitiveness. From this perspective, the data mining model tries to generalize the hypothesis of organizational survival and competitiveness, so that the organization that is able to identify, strengthen, and use key knowledge will reach a pole position. This case-based reasoning system incorporates a novel artificial neural architecture called Beta-Cooperative Learning in order to categorize the necessities for the Acquisition, Transfer and Updating of Knowledge of the different departments of a firm. This architecture is used to retrieve the most similar cases to a given subject.
978-3-540-24054-9 (Print) / 978-3-540-30185-1 (Online)
0302-9743 (Print) / 1611-3349 (Online)
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