Knowledge Extraction based on Evolutionary Learning

Contents of the session

The goal of the session is to serve as a forum for the exchange of ideas and discussion on recent and new trends for research in the field. Lots of knowledge extraction processes can be addressed by means of Evolutionary Algorithms, obtaining promising results. Evolutionary Algorithms have been successfully applied in several knowledge extraction tasks, such as data mining and data reduction.
The topics for the special session include the application, but are not limited, of Evolutionary Algorithms to:

Data Mining
Classification
Regression
Clustering
Association Rules
Data Reduction
Feature Selection / Extraction
Instance Selection / Extraction
Interval Rule Learning
Fuzzy Rule Learning
Neural Networks
Statistical Learning
Lazy Learning
Preprocessing / Postprocessing tasks
Recent Challenges of Data Mining: Imbalanced domains, Multiple Instance Learning, ...
Real World Applications

Co-Chairs

Eva L. Gibaja, Research Group on Knowledge Discovery and Intelligent Systems, University of Córdoba, Spain
Amelia Zafra, Research Group on Knowledge Discovery and Intelligent Systems, University of Córdoba, Spain
Sebastián Ventura, Research Group on Knowledge Discovery and Intelligent Systems, University of Córdoba, Spain

Contact information

Eva L. Gibaja
E-mail:
Knowledge Discovery and Intelligent Systems Group. University of Córdoba. Spain

Amelia Zafra
E-mail:
Knowledge Discovery and Intelligent Systems Group. University of Córdoba. Spain

Sebastián Ventura
E-mail:
Knowledge Discovery and Intelligent Systems Group. University of Córdoba. Spain

Research groups interested in the topic of this Special Session:

Knowledge Discovery and Intelligent Systems Group. University of Córdoba (contact, Sebastián Ventura - sventura@uco.es).
Soft Computing and Intelligent Information Systems. University of Granada (contact, Francisco Herrera - herrera@decsai.ugr.es).
Research Group in Intelligent Systems. University Ramon Llull (contact, Ester Bernardo - esterb@salle.url.edu).
Intelligent Systems and Data Mining. University of Jaén (contact, María J. del Jesus - mjjesus@ujaen.es)./li>
Metrology and Models. University of Asturias (contact, Luciano Sánchez -luciano@uniovi.es)
Intelligent Systems and Data Mining. University of Huelva (contact, Antonio Peregrín - peregrin@diesia.uhu.es)

Proceedings

HAIS'10 proceedings will be published by Springer in its series of Lecture Notes in Computer Science. (Tentative) All accepted papers must be presented by one of the authors who must register for the conference and pay the fee.

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