Statistical Implicative Analysis

We present a case study, in the context of Didactics of Mathematics, in which we adopt the methodology of using fictitious data in the Statistical Implicative Analysis. On the one hand, unlike supplementary variables, the fact of adding ...

Statistical Implicative Analysis

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.

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Statistical Implicative Analysis
Language: en
Pages: 513
Authors: Régis Gras, Einoshin Suzuki, Fabrice Guillet, Filippo Spagnolo
Categories: Mathematics
Type: BOOK - Published: 2008-04-29 - Publisher: Springer Science & Business Media

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
3rd International Conference on Lifelong Education and Leadership for ALL-ICLEL 2017
Language: en
Pages: 1183
Authors: Prof. Dr. Paulo Alberto da SILVA PEREIRA
Categories: Business & Economics
Type: BOOK - Published: 2018-12-27 - Publisher: Prof. Dr. Osman Titrek, Prof. Dr. Paulo Alberto da SILVA PEREIRA, Res. Assist. Gozde SEZEN-GULTEKIN

Copyright © 2017, ICLEL Conferences All rights reserved by ICLEL Conferences
Advances in Computational Collective Intelligence
Language: en
Pages: 823
Authors: Marcin Hernes, Krystian Wojtkiewicz, Edward Szczerbicki
Categories: Computers
Type: BOOK - Published: 2020-11-20 - Publisher: Springer Nature

This book constitutes refereed proceedings of the 12th International Conference on International Conference on Computational Collective Intelligence, ICCCI 2020, held in Da Nang, Vietnam, in November – December 2020. Due to the the COVID-19 pandemic the conference was held online. The 68 papers were thoroughly reviewed and selected from 314
Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering
Language: en
Pages: 647
Authors: Israël César Lerman
Categories: Computers
Type: BOOK - Published: 2016-03-24 - Publisher: Springer

This book offers an original and broad exploration of the fundamental methods in Clustering and Combinatorial Data Analysis, presenting new formulations and ideas within this very active field. With extensive introductions, formal and mathematical developments and real case studies, this book provides readers with a deeper understanding of the mutual
Context-Aware Systems and Applications
Language: en
Pages: 347
Authors: Phan Cong Vinh, Abdur Rakib
Categories: Application software
Type: BOOK - Published: 2021 - Publisher: Springer Nature

This book constitutes the refereed post-conference proceedings of the International Conference on Context-Aware Systems and Applications, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 25 revised full papers presented were carefully selected from 52 submissions. The papers cover a wide spectrum of modern approaches