Methodology and concepts for SIA -- An overview of the Statistical Implicative Analysis (SIA) development -- CHIC: Cohesive Hierarchical Implicative Classification -- Assessing the interestingness of temporal rules with Sequential Implication Intensity -- Application to concept learning in education, teaching, and didactics -- Student's Algebraic Knowledge Modelling: Algebraic Context as Cause of Student's Actions -- The graphic illusion of high school students -- Implicative networks of student's representations of Physical Activities -- A comparison between the hierarchical clustering of variables, implicative statistical analysis and confirmatory factor analysis -- Implications between learning outcomes in elementary bayesian inference -- Personal Geometrical Working Space: a Didactic and Statistical Approach -- A methodological answer in various application frameworks -- Statistical Implicative Analysis of DNA microarrays -- On the use of Implication Intensity for matching ontologies and textual taxonomies -- Modelling by Statistic in Research of Mathematics Education -- Didactics of Mathematics and Implicative Statistical Analysis -- Using the Statistical Implicative Analysis for Elaborating Behavioral Referentials -- Fictitious Pupils and Implicative Analysis: a Case Study -- Identifying didactic and sociocultural obstacles to conceptualization through Statistical Implicative Analysis -- Extensions to rule interestingness in data mining -- Pitfalls for Categorizations of Objective Interestingness Measures for Rule Discovery -- Inducing and Evaluating Classification Trees with Statistical Implicative Criteria -- On the behavior of the generalizations of the intensity of implication: A data-driven comparative study -- The TVpercent principle for the counterexamples statistic -- User-System Interaction for Redundancy-Free Knowledge Discovery in Data -- Fuzzy Knowledge Discovery Based on Statistical Implication Indexes.