Statistical Implicative Analysis - Theory and Applications (Paperback, Softcover reprint of hardcover 1st ed. 2008)

Statistical implicative analysis is a data analysis method created by Regis 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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Studies in Computational Intelligence, 127
Release date:	November 2010
First published:	2008
Editors:	Regis Gras • Einoshin Suzuki • Fabrice Guillet • Filippo Spagnolo
Dimensions:	235 x 155 x 27mm (L x W x T)
Format:	Paperback
Pages:	513
Edition:	Softcover reprint of hardcover 1st ed. 2008
ISBN-13:	978-3-642-09777-5
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-642-09777-4
Barcode:	9783642097775

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