Memorias de investigación
Research Publications in journals:
Cooperation between expert knowledge and data mining discovered knowledge: Lessons learned
Year:2012
Research Areas
  • Information technology and adata processing
Information
Abstract
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
International
Si
JCR
Si
Title
Expert Systems with Applications
ISBN
0957-4174
Impact factor JCR
2,203
Impact info
Volume
39
10.1016/j.eswa.2012.01.133
Journal number
8
From page
7524
To page
7535
Month
JUNIO
Ranking
Q1 (22/111 en Computer Science/Artificial Intelligence || 41/245 en Engineering/Electrical & Electronic ||5/77 en Operations Research & Management science)
Participants
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Investigación en Tecnología Informática y de las Comunicaciones: CETTICO