Statistical implicative analysis : theory and applications

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...

সম্পূর্ণ বিবরণ

সংরক্ষণ করুন:
গ্রন্থ-পঞ্জীর বিবরন
প্রধান লেখক: Kacprzyk, Janusz, 1947-
অন্যান্য লেখক: Gras, Régis, 1933-...., professeur de probabilités (Publishing director, Editor), Guillet, Fabrice, 1965-...., maître de conférences (Publishing director, Editor), Spagnolo, Filippo, 1948- (Publishing director, Editor), Suzuki, Einoshin (Publishing director, Editor)
বিন্যাস: Livre numérique
ভাষা:Anglais
প্রকাশিত: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
সংস্করন:1st ed. 2008.
মালা:Studies in Computational Intelligence
অনলাইন ব্যবহার করুন:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
টীকা: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Statistical implicative analysis, theory and applications, Régis Gras, Einoshin Suzuki, Fabrice Guillet... [et al.], éd., Berlin, Springer Verlag, 2008, 1 volume (xv-513 pages), Studies in computational intelligence, 978-3-540-78982-6
• Statistical Implicative Analysis, Texte imprimé, 9783540871668
• Statistical Implicative Analysis, Texte imprimé, 9783642097775
• Statistical implicative analysis, theory and applications, Régis Gras, Einoshin Suzuki, Fabrice Guillet... [et al.], éd., Berlin, Springer Verlag, 2008, 1 volume (xv-513 pages), Studies in computational intelligence, 978-3-540-78982-6
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505 1 |a 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 
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520 |a 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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700 1 |a Suzuki, Einoshin.  |4 pbd  |4 edt 
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