Cooperation between expert knowledge and data mining discovered knowledge: Lessons learned

Alonso Amo, Fernando; Martínez Normand, Loïc; Pérez Pérez, Aurora y Caraça-Valente Hernández, Juan Pedro (2012). Cooperation between expert knowledge and data mining discovered knowledge: Lessons learned. "Expert Systems with Applications", v. 39 (n. 8); pp. 7524-7535. ISSN 0957-4174. https://doi.org/10.1016/j.eswa.2012.01.133.

Descripción

Título: Cooperation between expert knowledge and data mining discovered knowledge: Lessons learned
Autor/es:
  • Alonso Amo, Fernando
  • Martínez Normand, Loïc
  • Pérez Pérez, Aurora
  • Caraça-Valente Hernández, Juan Pedro
Tipo de Documento: Artículo
Título de Revista/Publicación: Expert Systems with Applications
Fecha: 15 Junio 2012
Volumen: 39
Materias:
Palabras Clave Informales: Data mining, Discovered knowledge, Expert systems, Expert knowledge, Mined knowledge, Lessons learned, Búsqueda de datos, Conocimiento descubierto, Sistemas expertos, Conocimiento experto, Conocimiento extraído, Lecciones aprendidas.
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Lenguajes y Sistemas Informáticos e Ingeniería del Software
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Expert systems are built from knowledge traditionally elicited from the human expert. It is precisely knowledge elicitation from the expert that is the bottleneck in expert system construction. On the other hand, a data mining system, which automatically extracts knowledge, needs expert guidance on the successive decisions to be made in each of the system phases. In this context, expert knowledge and data mining discovered knowledge can cooperate, maximizing their individual capabilities: data mining discovered knowledge can be used as a complementary source of knowledge for the expert system, whereas expert knowledge can be used to guide the data mining process. This article summarizes different examples of systems where there is cooperation between expert knowledge and data mining discovered knowledge and reports our experience of such cooperation gathered from a medical diagnosis project called Intelligent Interpretation of Isokinetics Data, which we developed. From that experience, a series of lessons were learned throughout project development. Some of these lessons are generally applicable and others pertain exclusively to certain project types.

Más información

ID de Registro: 15842
Identificador DC: http://oa.upm.es/15842/
Identificador OAI: oai:oa.upm.es:15842
Identificador DOI: 10.1016/j.eswa.2012.01.133
URL Oficial: http://www.sciencedirect.com/science/article/pii/S0957417412001510
Depositado por: Memoria Investigacion
Depositado el: 19 Jun 2013 15:01
Ultima Modificación: 21 Abr 2016 16:08
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