Statistical Implicative Analysis: Theory and Applications / Edition 1

Statistical Implicative Analysis: Theory and Applications / Edition 1

ISBN-10:
3540789820
ISBN-13:
9783540789826
Pub. Date:
04/29/2008
Publisher:
Springer Berlin Heidelberg

Hardcover

Current price is , Original price is $349.99. You
Select a Purchase Option (2008)
  • purchase options
    $235.92 $349.99 Save 33% Current price is $235.92, Original price is $349.99. You Save 33%.
  • purchase options

Overview

Statistical Implicative Analysis: Theory and Applications / Edition 1

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.

Product Details

ISBN-13: 9783540789826
Publisher: Springer Berlin Heidelberg
Publication date: 04/29/2008
Series: Studies in Computational Intelligence , #127
Edition description: 2008
Pages: 513
Product dimensions: 6.10(w) x 9.25(h) x 0.04(d)

Table of Contents

Part I Methodology and concepts for SIA.- Part II Application to concept learning in education, teaching, and Didactics.- Part III A methodological answer in various application Frameworks.- Part IV Extensions to rule interestingness in data mining.

Customer Reviews

Most Helpful Customer Reviews

See All Customer Reviews