Statistical Implicative Analysis (Studies in Computational Intelligence)

Gras, Régis (Editor) / Suzuki, Einoshin (Editor) / Guillet, Fabrice (Editor) / Spagnolo, Filippo (Editor)

ISBN 10: 3642097774 / ISBN 13: 9783642097775

Edité par Springer Berlin Heidelberg, 2008

A propos de cet article

530 pages. 9.25x6.10x1.20 inches. In Stock.

N° de réf. du vendeur x-3642097774

Détails bibliographiques

• Titre: Statistical Implicative Analysis (Studies in Computational Intelligence)
• Éditeur: Springer Berlin Heidelberg
• Date de parution: 2008
• Langue: anglais
• ISBN à 10 chiffres: 3642097774
• ISBN à 13 chiffres: 9783642097775
• Reliure: Paperback
• État de l'article: Brand New

A propos de ce titre

Synopsis

Statistical implicative analysis is a data analysis method created by Régis Gras almost thirty years ago which has a significant impact on a variety of areas ranging from pedagogical and psychological research to data mining. Statistical implicative analysis (SIA) provides a framework for evaluating the strength of implications; such implications are formed through common knowledge acquisition techniques in any learning process, human or artificial. This new concept has developed into a unifying methodology, and has generated a powerful convergence of thought between mathematicians, statisticians, psychologists, specialists in pedagogy and last, but not least, computer scientists specialized in data mining.

This volume collects significant research contributions of several rather distinct disciplines that benefit from SIA. Contributions range from psychological and pedagogical research, bioinformatics, knowledge management, and data mining.