Statistical Implicative Analysis Theory and Applications /
| Corporate Author: | |
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| Other Authors: | , , , |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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| Edition: | 1st ed. 2008. |
| Series: | Studies in Computational Intelligence,
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| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-540-78983-3 |
Table of Contents:
- 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.