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03354nam a22003735i 4500 |
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978-3-540-78983-3 |
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20191021231609.0 |
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cr nn 008mamaa |
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100301s2008 gw | s |||| 0|eng d |
| 020 |
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|a 9783540789833
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| 024 |
7 |
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|a 10.1007/978-3-540-78983-3
|2 doi
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| 040 |
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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| 245 |
1 |
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|a Statistical Implicative Analysis
|b Theory and Applications /
|c edited by Régis Gras, Einoshin Suzuki, Fabrice Guillet, Filippo Spagnolo.
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| 250 |
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|a 1st ed. 2008.
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| 260 |
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2008.
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| 300 |
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|a XV, 513 p.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Studies in Computational Intelligence,
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| 505 |
0 |
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|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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| 650 |
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0 |
|a Applied mathematics.
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| 650 |
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0 |
|a Engineering mathematics.
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| 650 |
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0 |
|a Artificial intelligence.
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| 650 |
1 |
4 |
|a Mathematical and Computational Engineering.
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| 650 |
2 |
4 |
|a Artificial Intelligence.
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| 650 |
2 |
4 |
|a Applications of Mathematics.
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| 700 |
1 |
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|a Gras, Régis.
|e editor.
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| 700 |
1 |
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|a Suzuki, Einoshin.
|e editor.
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| 700 |
1 |
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|a Guillet, Fabrice.
|e editor.
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| 700 |
1 |
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|a Spagnolo, Filippo.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-540-78983-3
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