Books of ASI - Le livres de l'ASI:

 1. Statistical Implicative Analysis : theory and applications

Series: Studies in Computational Intelligence , Vol. 127

 Editors: R. Gras¹, E. Suzuki², F. Guillet¹, F. Spagnolo³

 ¹ LINA, Polytechnic School of Nantes University, France. Regisgra at club-internet.fr, Fabrice.Guillet at univ-nantes.fr

² Electrical and Computer Engineering, Yokohama National University, Japan. Esuzuki at acm.org

³ GRIM., University of Palermo, Italy. Spagnolo at math.unipa.it

2008, XVI, 514 p. 147 illus., Hardcover, SPRINGER
ISBN: 978-3-540-78982-6
 

About this book:

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.

Written for: Engineers, researchers, and graduate students in computational intelligence and computer science

Keywords: Computational Intelligence, Statistics, Implicative Analysis, Data Mining, Applications (in psychological and pedagogical research,
bioinformatics, knowledge management)
 

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