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Published in:
2008 | OriginalPaper | Chapter
An overview of the Statistical Implicative Analysis (SIA) development
Authors : Régis Gras, Pascale Kuntz
Published in: Statistical Implicative Analysis
Publisher: Springer Berlin Heidelberg
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This paper presents an overview of the Statistical Implicative Analysis which is a data analysis method devoted to the extraction and the structuration of quasi-implications. Originally developed by Gras [11] for applications in the didactics of mathematics, it has considerably evolved and has been applied to a wide range of data, in particular in data mining. This paper is a synthesis which both briefly presents the basic statistical framework of the approach and details recent developments.