Statistical Implicative Analysis Theory And Applications
GRAS
Verkauft von Basi6 International, Irving, TX, USA
AbeBooks-Verkäufer seit 24. Juni 2016
Neu - Hardcover
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Anzahl: 1 verfügbar
In den Warenkorb legenVerkauft von Basi6 International, Irving, TX, USA
AbeBooks-Verkäufer seit 24. Juni 2016
Zustand: Neu
Anzahl: 1 verfügbar
In den Warenkorb legenNew. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Bestandsnummer des Verkäufers ABEJUNE24-270876
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.
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.
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