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Data mining and soft computing

Prof. Francisco Herrera
Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain

20 hours, 5 credits (final test)

November 18 - November 21, 2008

Dipartimento di Ingegneria dell'Informazione: Elettronica, Informatica, Telecomunicazioni, via Diotisalvi, meeting room

Contacts: Prof. Francesco Marcelloni

Syllabus

• Introduction to data mining and knowledge discovery.
• Data preparation.
• Data mining - from the top 10 algorithms to the new challenges.
• Introduction to soft computing. Focusing our attention in fuzzy logic and evolutionary computation.
• An introduction to soft computing techniques in data mining.
• Fuzzy data mining.
• Knowledge extraction based on evolutionary learning.
• Genetic fuzzy systems: state of the art and new trends.
• Some advanced topics I: subgroup discovery.
• Some advanced topics II: data complexity.
• Some advanced topics III: classification with imbalanced data sets.
• Final talk: how must I do my experimental study? Experiments design in data mining and soft computing. Using non-parametric tests. Some cases of study.