Statistical Implicative Analysis

Statistical Implicative Analysis

Author: Régis Gras

Publisher: Springer Science & Business Media

Published: 2008-04-29

Total Pages: 511

ISBN-13: 3540789820

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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

The Theory of Statistical Implicative Analysis

Author: Régis Gras

Publisher: CRC Press

Published: 2020-11-27

Total Pages: 259

ISBN-13: 100381302X

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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.


Selected Contributions in Data Analysis and Classification

Selected Contributions in Data Analysis and Classification

Author: Paula Brito

Publisher: Springer Science & Business Media

Published: 2007-08-27

Total Pages: 619

ISBN-13: 3540735585

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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.


Advances in Computational Collective Intelligence

Advances in Computational Collective Intelligence

Author: Marcin Hernes

Publisher: Springer Nature

Published: 2020-11-20

Total Pages: 829

ISBN-13: 3030631192

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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.


Statistical Analysis of Spherical Data

Statistical Analysis of Spherical Data

Author: N. I. Fisher

Publisher: Cambridge University Press

Published: 1993-08-19

Total Pages: 358

ISBN-13: 9780521456999

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This is the first comprehensive, yet clearly presented, account of statistical methods for analysing spherical data. The analysis of data, in the form of directions in space or of positions of points on a spherical surface, is required in many contexts in the earth sciences, astrophysics and other fields, yet the methodology required is disseminated throughout the literature. Statistical Analysis of Spherical Data aims to present a unified and up-to-date account of these methods for practical use. The emphasis is on applications rather than theory, with the statistical methods being illustrated throughout the book by data examples.


Real-World Tools and Scenarios for Entrepreneurship Exploration

Real-World Tools and Scenarios for Entrepreneurship Exploration

Author: Masouras, Andreas

Publisher: IGI Global

Published: 2024-10-25

Total Pages: 624

ISBN-13:

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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.


Context-Aware Systems and Applications

Context-Aware Systems and Applications

Author: Phan Cong Vinh

Publisher: Springer Nature

Published: 2022-01-06

Total Pages: 347

ISBN-13: 303093179X

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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 and techniques for smart computing systems and their applications.


Statistical Analysis of Climate Extremes

Statistical Analysis of Climate Extremes

Author: Manfred Mudelsee

Publisher: Cambridge University Press

Published: 2020

Total Pages: 213

ISBN-13: 1107033187

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The risks posed by climate change and its effect on climate extremes are an increasingly pressing societal problem. This book provides an accessible overview of the statistical analysis methods which can be used to investigate climate extremes and analyse potential risk. The statistical analysis methods are illustrated with case studies on extremes in the three major climate variables: temperature, precipitation, and wind speed. The book also provides datasets and access to appropriate analysis software, allowing the reader to replicate the case study calculations. Providing the necessary tools to analyse climate risk, this book is invaluable for students and researchers working in the climate sciences, as well as risk analysts interested in climate extremes.


Research Design & Statistical Analysis

Research Design & Statistical Analysis

Author: Arnold D. Well

Publisher: Psychology Press

Published: 2003-01-30

Total Pages: 871

ISBN-13: 1135641080

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"Free CD contains several real and artificial data sets used in the book in SPSS, SYSTAT, and ASCII formats"--Cover