DIPKIP: A CONNECTIONIST KNOWLEDGE MANAGEMENT SYSTEM TO IDENTIFY KNOWLEDGE DEFICITS IN PRACTICAL CASES

This study presents a novel, multidisciplinary research project entitled DIPKIP (data acquisition, intelligent processing, knowledge identification and proposal), which is a Knowledge Management (KM) system that profiles the KM status of a company. Qualitative data is fed into the system that allows...

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Veröffentlicht in:	Computational intelligence 2010-02, Vol.26 (1), p.26-56
Hauptverfasser:	Herrero, Álvaro, Corchado, Emilio, Sáiz, Lourdes, Abraham, Ajith
Format:	Artikel
Sprache:	eng
Schlagworte:	Case studies connectionism and neural nets Cost control data and knowledge visualization Decision support systems discovery-based science Expert systems Knowledge management knowledge management applications knowledge-based systems Neural networks Studies Visualization
Online-Zugang:	Volltext
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