Statistical Implicative Analysis: Theory and ApplicationsRégis Gras, Einoshin Suzuki, Fabrice Guillet, Filippo Spagnolo Springer, 6 jul 2008 - 513 páginas 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. |
Índice
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Raphaël Couturier | 41 |
Assessing the interestingness of temporal rules with Sequential | 55 |
Algebraic Context | 75 |
The graphic illusion of high school students | 99 |
Implicative networks of students representations of Physical | 118 |
implicative statistical analysis and confirmatory factor | 131 |
Didactics of Mathematics and Implicative Statistical Analysis | 277 |
Using the Statistical Implicative Analysis for Elaborating | 299 |
a Case Study | 320 |
Pilar Orús Pablo Gregori 321 | 347 |
Pitfalls for Categorizations of Objective Interestingness | 383 |
Inducing and Evaluating Classification Trees with Statistical | 396 |
On the behavior of the generalizations of the intensity | 421 |
The TVpercent principle for the counterexamples statistic | 448 |
Implications between learning outcomes in elementary | 163 |
a Didactic | 185 |
Statistical Implicative Analysis of DNA microarrays | 205 |
On the use of Implication Intensity for matching ontologies | 226 |
Modelling by Statistic in Research of Mathematics Education | 247 |
Ricco Rakotomalala Alain Morineau 449 | 463 |
Fuzzy Knowledge Discovery Based on Statistical Implication | 481 |
About the editors | 507 |
Otras ediciones - Ver todo
Statistical Implicative Analysis: Theory and Applications Régis Gras,Einoshin Suzuki,Fabrice Guillet,Filippo Spagnolo Vista previa restringida - 2008 |
Statistical Implicative Analysis: Theory and Applications Régis Gras,Einoshin Suzuki,Fabrice Guillet,Filippo Spagnolo No hay ninguna vista previa disponible - 2010 |