Statistical Implicative Analysis : Theory and Applications

Régis Gras

ISBN 10: 3540789820 / ISBN 13: 9783540789826

Published by Springer Berlin Heidelberg, 2008

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783540789826

Bibliographic Details

• Title: Statistical Implicative Analysis : Theory and Applications
• Publisher: Springer Berlin Heidelberg
• Publication Date: 2008
• Language: English
• ISBN 10: 3540789820
• ISBN 13: 9783540789826
• Binding: Buch
• Condition: Neu

About this title

Synopsis

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.