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Statistical Implicative Analysis 2008
- Régis Gras, Einoshin Suzuki, Fabrice Guillet, Filippo Spagnolo:
Statistical Implicative Analysis, Theory and Applications. Studies in Computational Intelligence 127, Springer 2008, ISBN 978-3-540-78982-6
Methodology and concepts for SIA
- Régis Gras, Pascale Kuntz:
An overview of the Statistical Implicative Analysis (SIA) development. 11-40 - Raphaël Couturier
:
CHIC: Cohesive Hierarchical Implicative Classification. 41-53 - Julien Blanchard, Fabrice Guillet
Assessing the interestingness of temporal rules with Sequential Implication Intensity. 55-71
Application to concept learning in education, teaching, and didactics
- Marie-Caroline Croset, Jana Trgalová, Jean-François Nicaud Croset:
Student's Algebraic Knowledge Modelling: Algebraic Context as Cause of Student's Actions. 75-98 - Catherine-Marie Chiocca, Ingrid Verscheure:
Implicative networks of student's representationsof Physical Activities. 119-130 - Iliada Elia
A comparison between the hierarchical clustering of variables, implicative statistical analysis and confirmatory factor analysis. 131-162 - Carmen Díaz
Implications between learning outcomes in elementary bayesian inference. 163-184 - Alain Kuzniak:
Personal Geometrical Working Space: a Didactic and Statistical Approach. 185-202
A methodological answer in various application frameworks
- Gérard Ramstein
Statistical Implicative Analysis of DNA microarrays. 205-225 - Jérôme David, Fabrice Guillet, Henri Briand, Régis Gras:
On the use of Implication Intensity for matching ontologies and textual taxonomies. 227-245 - Elsa Malisani, Aldo Scimone, Filippo Spagnolo:
Modelling by Statistic in Research of Mathematics Education. 247-276 - Dominique Lahanier-Reuter:
Didactics of Mathematics and Implicative Statistical Analysis. 277-298 - Stéphane Daviet, Fabrice Guillet, Henri Briand, Serge Baquédano, Vincent Philippé, Régis Gras:
Using the Statistical Implicative Analysis for Elaborating Behavioral Referentials. 299-319 - Pilar Orús, Pablo Gregori
Fictitious Pupils and Implicative Analysis: a Case Study. 321-345 - Nadja Maria Acioly-Régnier, Jean-Claude Régnier:
Identifying didactic and sociocultural obstacles to conceptualization through Statistical Implicative Analysis. 347-379
Extensions to rule interestingness in data mining
- Einoshin Suzuki:
Pitfalls for Categorizations of Objective Interestingness Measures for Rule Discovery. 383-395 - Gilbert Ritschard
Inducing and Evaluating Classification Trees with Statistical Implicative Criteria. 397-419 - Benoît Vaillant, Stéphane Lallich, Philippe Lenca:
On the behavior of the generalizations of the intensity of implication: A data-driven comparative study. 421-447 - Ricco Rakotomalala, Alain Morineau:
The TVpercentprinciple for the counterexamples statistic. 449-462 - Rémi Lehn, Henri Briand, Fabrice Guillet:
User-System Interaction for Redundancy-Free Knowledge Discovery in Data. 463-479 - Maurice Bernadet:
Fuzzy Knowledge Discovery Based on Statistical Implication Indexes. 481-506
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