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Statistical implicative analysis: theory and applications/ edited by Regis Gras, Einoshin Suzuki, Fabric Guillet and Filippo Spagnolo

Contributor(s): Gras, Regis, ed | Suzuki, Einoshin, ed | Guillet, Fabrice, ed | Spagnolo, Filippo, edMaterial type: Text

TextSeries: Studies in Computational Intelligence, 127Publication details: London: Springer, 2008Description: xv, 513 p. : ill. ; 25 cmISBN: 9783540789826Subject(s): Mathematical analysis | Statistics | Data mining | Mathematics | Artificial intelligence | Engineering | Engineering mathematicsDDC classification: 519.5

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.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
General Books	Central Library, Sikkim University General Book Section	519.5 GRA/S (Browse shelf(Opens below))	Available		P40965

Total holds: 0

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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