Statistical Implicative Analysis: Theory and Applications. Einoshin Suzuki, Fabrice Guillet, Filippo Spagnolo, RГѓВ©gis Gras

Statistical Implicative Analysis: Theory and Applications



Download Statistical Implicative Analysis: Theory and Applications



Statistical Implicative Analysis: Theory and Applications Einoshin Suzuki, Fabrice Guillet, Filippo Spagnolo, RГѓВ©gis Gras ebook pdf
Publisher: Springer
Language: English
Page: 496
ISBN: 3540789820, 9783540789826

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.

From the Back Cover

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.


--This text refers to the

edition.



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