Statistical Implicative Analysis
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Statistical Implicative Analysis
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Author : Régis Gras
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-04-29
Statistical Implicative Analysis written by Régis Gras and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-29 with Mathematics categories.
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.
The Theory Of Statistical Implicative Analysis
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Author : Régis Gras
language : en
Publisher: CRC Press
Release Date : 2023-11-29
The Theory Of Statistical Implicative Analysis written by Régis Gras and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-29 with Mathematics categories.
This book summarizes the methods and concepts of Statistical Implicative Analysis (SIA), created by Régis Gras in the 1980s to study, in a new way, the behavioural responses of French pupils to mathematics tests. Using a multidimensional, non-symmetrical data analysis method, SIA crosses a set of subjects or objects with a set of variables. It effectively complements traditional correlational and psychometric methods. SIA, through its various extensions, is today presented as a broad Artificial Intelligence method aimed at extracting trends and possible causalities in the form of rules, from a set of variables. It is based on the unlikeliness of the existence of these relationships, i.e. on the relative weakness of their counter-examples compared to what chance alone would produce. It establishes a dual topological relationship between the set of subjects and the set of variables. Many applications of this approach, driving forces or crucibles for the development of SIA, have concerned and still concern various fields such as didactics, evaluation and assessment, psychology, sociology, medicine, biology, economics, art history, and others. Key Features: Presents the foundations and representations of SIA Provides extensions of variable sets and subjects Includes a bonus exercise
The Theory Of Statistical Implicative Analysis
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Author : Régis Gras
language : en
Publisher:
Release Date :
The Theory Of Statistical Implicative Analysis written by Régis Gras and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with MATHEMATICS categories.
This book summarizes the methods and concepts of Statistical Implicative Analysis (SIA), created by Rgis Gras in the 1980s to study, in a new way, the behavioural responses of French pupils to mathematics tests. Using a multidimensional, non-symmetrical data analysis method, SIA crosses a set of subjects or objects with a set of variables. It effectively complements traditional correlational and psychometric methods. SIA, through its various extensions, is today presented as a broad Artificial Intelligence method aimed at extracting trends and possible causalities in the form of rules, from a set of variables. It is based on the unlikeliness of the existence of these relationships, i.e. on the relative weakness of their counter-examples compared to what chance alone would produce. It establishes a dual topological relationship between the set of subjects and the set of variables. Many applications of this approach, driving forces or crucibles for the development of SIA, have concerned and still concern various fields such as didactics, evaluation and assessment, psychology, sociology, medicine, biology, economics, art history, and others. Key Features: Presents the foundations and representations of SIA Provides extensions of variable sets and subjects Includes a bonus exercise
3rd International Conference On Lifelong Education And Leadership For All Iclel 2017
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Author : Prof. Dr. Paulo Alberto da SILVA PEREIRA
language : en
Publisher: Prof. Dr. Osman Titrek, Prof. Dr. Paulo Alberto da SILVA PEREIRA, Res. Assist. Gozde SEZEN-GULTEKIN
Release Date : 2018-12-27
3rd International Conference On Lifelong Education And Leadership For All Iclel 2017 written by Prof. Dr. Paulo Alberto da SILVA PEREIRA and has been published by Prof. Dr. Osman Titrek, Prof. Dr. Paulo Alberto da SILVA PEREIRA, Res. Assist. Gozde SEZEN-GULTEKIN this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-27 with Business & Economics categories.
Copyright © 2017, ICLEL Conferences All rights reserved by ICLEL Conferences
Modes Of Representation In Developing Statistical Thinking In Education
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Author : Anastasiadou, Sofia D.
language : en
Publisher: IGI Global
Release Date : 2025-05-29
Modes Of Representation In Developing Statistical Thinking In Education written by Anastasiadou, Sofia D. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-29 with Education categories.
Developing the ability to understand and use multiple representations is vital for deepening students’ comprehension of statistical, probabilistic, and mathematical concepts. This skill enhances problem-solving by enabling learners to translate ideas across various forms, leading to more flexible and meaningful understanding. Representational competency is closely linked to communication, critical thinking, and the ability to engage with real-world data. Moreover, students’ attitudes, emotions, and self-confidence significantly influence their motivation and success in these subjects. Strengthening these aspects in education can lead to more effective learning experiences and greater long term achievement in math and statistics. Modes of Representation in Developing Statistical Thinking in Education explores different modes of representations in teaching and learning statistical, probabilistic notions, and attitudes in developing statistical thinking in education. By bringing together contributions from global experts, the volume fosters interdisciplinary collaboration, inspires new research directions, and provides the knowledge and tools necessary to navigate the evolving landscape of statistics education. Covering topics such as artificial intelligence, mathematics education, and web tools, this book is an excellent resource for researchers, academicians, educators, policymakers, data scientists, and more.
Advances In Computational Collective Intelligence
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Author : Marcin Hernes
language : en
Publisher: Springer Nature
Release Date : 2020-11-20
Advances In Computational Collective Intelligence written by Marcin Hernes and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-20 with Computers categories.
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 submissions. The papers are organized according to the following topical sections: data mining and machine learning; deep learning and applications for industry 4.0; recommender systems; computer vision techniques; decision support and control systems; intelligent management information systems; innovations in intelligent systems; intelligent modeling and simulation approaches for games and real world systems; experience enhanced intelligence to IoT; data driven IoT for smart society; applications of collective intelligence; natural language processing; low resource languages processing; computational collective intelligence and natural language processing.
Foundations And Methods In Combinatorial And Statistical Data Analysis And Clustering
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Author : Israël César Lerman
language : en
Publisher: Springer
Release Date : 2016-03-24
Foundations And Methods In Combinatorial And Statistical Data Analysis And Clustering written by Israël César Lerman and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-24 with Computers categories.
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 relationships between these methods, which are clearly expressed with respect to three facets: logical, combinatorial and statistical. Using relational mathematical representation, all types of data structures can be handled in precise and unified ways which the author highlights in three stages: Clustering a set of descriptive attributes Clustering a set of objects or a set of object categories Establishing correspondence between these two dual clusterings Tools for interpreting the reasons of a given cluster or clustering are also included. Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering will be a valuable resource for students and researchers who are interested in the areas of Data Analysis, Clustering, Data Mining and Knowledge Discovery.
On Model Uncertainty And Its Statistical Implications
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Author : Theo K. Dijkstra
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
On Model Uncertainty And Its Statistical Implications written by Theo K. Dijkstra and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
In this book problems related to the choice of models in such diverse fields as regression, covariance structure, time series analysis and multinomial experiments are discussed. The emphasis is on the statistical implications for model assessment when the assessment is done with the same data that generated the model. This is a problem of long standing, notorious for its difficulty. Some contributors discuss this problem in an illuminating way. Others, and this is a truly novel feature, investigate systematically whether sample re-use methods like the bootstrap can be used to assess the quality of estimators or predictors in a reliable way given the initial model uncertainty. The book should prove to be valuable for advanced practitioners and statistical methodologists alike.
Real World Tools And Scenarios For Entrepreneurship Exploration
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Author : Masouras, Andreas
language : en
Publisher: IGI Global
Release Date : 2024-10-25
Real World Tools And Scenarios For Entrepreneurship Exploration written by Masouras, Andreas and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-25 with Business & Economics categories.
Entrepreneurship, a dynamic force driving economic growth and innovation, faces multifaceted challenges in today's global landscape. Small firms, vital for economic diversity and innovation, need more resources and technological capabilities to compete with larger enterprises. Moreover, the rapid pace of technological advancement, while offering growth opportunities, also presents complexities in adoption and integration. Cultural, regulatory, and institutional differences further compound these challenges, hindering entrepreneurial success and regional development. Real-World Tools and Scenarios for Entrepreneurship Exploration offers a comprehensive solution to the complexity entrepreneurs and small businesses face. The book equips readers with the latest trends and insights into entrepreneurial practices worldwide by presenting real-world scenarios. Through comparative analyses, it provides a deep understanding of the institutional frameworks impacting entrepreneurship and offers strategies for overcoming technological burdens. The book also delves into the psychology of successful entrepreneurs, fostering an entrepreneurial mindset crucial for navigating challenges and seizing opportunities.
Selected Contributions In Data Analysis And Classification
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Author : Paula Brito
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-08-27
Selected Contributions In Data Analysis And Classification written by Paula Brito and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-27 with Computers categories.
This volume presents recent methodological developments in data analysis and classification. It covers a wide range of topics, including methods for classification and clustering, dissimilarity analysis, consensus methods, conceptual analysis of data, and data mining and knowledge discovery in databases. The book also presents a wide variety of applications, in fields such as biology, micro-array analysis, cyber traffic, and bank fraud detection.