Statistical Implicative Analysis

Statistical Implicative Analysis

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Statistical implicative analysis is a data analysis method created by RAcgis 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.The solution of the system is a a€œparticular solution verifying the equation of the problema€ (ALb2). ... problem represents a functional relationa€ (AL11) or he manifests, incorrectly, that a€œa relation of direct proportionality exists among the variablesa€anbsp;...

Title:Statistical Implicative Analysis
Author: Régis Gras, Einoshin Suzuki, Fabrice Guillet, Filippo Spagnolo
Publisher:Springer Science & Business Media - 2008-04-29

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