Observatorio de I+D+i UPM

Memorias de investigación
Book chapters:
Cooperation between Expert Knowledge and Data Mining Discovered Knowledge
Year:2010
Research Areas
  • Information technology and adata processing
Information
Abstract
Although expert elicited knowledge and data mining discovered knowledge appear to be completely opposite and competing solutions to the same problems, they are actually complementary concepts. Besides, together they maximize their individual qualities. This chapter highlights how each one profits from the other and illustrates their cooperation in existing systems developed in the medical domain. The authors have identified different types of cooperation that combine elicitation and data mining for knowledge acquisition, use expert knowledge to enact the knowledge discovery, use discovered knowledge to validate expert knowledge, and use discovered knowledge to improve the usability of an expert system. The chapter also describes their experience in combining expert and discovered knowledge in the development of a system for processing medical isokinetics data.
International
No
10.4018/978-1-60960-067-9.ch010
Book Edition
1
Book Publishing
IGI GLOBAL
ISBN
978-1-60960-067-9
Series
Book title
Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains
From page
198
To page
221
Participants
  • Autor: Fernando Alonso Amo (UPM)
  • Autor: Aurora Perez Perez (UPM)
  • Autor: Juan Pedro Caraca-Valente Hernandez (UPM)
  • Autor: Loic Antonio Martinez Normand (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Investigación en Tecnología Informática y de las Comunicaciones: CETTICO
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