COMPSTAT

COMPSTAT

Author: Konstantin Momirovic

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 333

ISBN-13: 364250096X

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Although no-one is, probably, too enthused about the idea, it is a fact that the development of most empirical sciences to a great extent depends on the development of data analysis methods and techniques, which, due to the necessity of application of computers for that purpose, actually means that it practically depends on the advancement and orientation of computer statistics. Every other year the International Association for Statistical Computing sponsors the organizition of meetings of individual s professiona77y involved in computational statistics. Since these meetings attract professionals from allover the world, they are a good sample for the estimation of trends in this area which some believe is a statistics proper while others claim it is computer science. It seems, though, that an increasing number of colleagues treat it as an independent scientific or at least technical discipline. This volume contains six invited papers, 41 contributed papers and, finally, two papers which are, formally, software descriptions, but it was agreed by the Program Committee that they should be included in a separate section entitled "Notes about new developments in statistical software", due to their special significance for current trends in computational statistics.


Generalized Blockmodeling

Generalized Blockmodeling

Author: Patrick Doreian

Publisher: Cambridge University Press

Published: 2005

Total Pages: 410

ISBN-13: 9780521840859

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This book provides an integrated treatment of generalized blockmodeling appropriate for the analysis network structures.


COMPSTAT

COMPSTAT

Author:

Publisher:

Published: 1990

Total Pages: 364

ISBN-13:

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Proceedings of symposia held 1974-


Modeling Decision for Artificial Intelligence

Modeling Decision for Artificial Intelligence

Author: Vincenc Torra

Publisher: Springer Science & Business Media

Published: 2011-07-08

Total Pages: 270

ISBN-13: 3642225888

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This book constitutes the proceedings of the 8th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2011, held in Changsha, China, in July 2011. The 25 papers presented were carefully reviewed and selected from 43 submissions. The volume also contains extended abstracts of the three invited papers. The topics covered are aggregation operators and decision making; clustering and similarity; computational intelligence; and data privacy.


Fuzzy Sets, Rough Sets, Multisets and Clustering

Fuzzy Sets, Rough Sets, Multisets and Clustering

Author: Vicenç Torra

Publisher: Springer

Published: 2017-01-13

Total Pages: 336

ISBN-13: 3319475576

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This book is dedicated to Prof. Sadaaki Miyamoto and presents cutting-edge papers in some of the areas in which he contributed. Bringing together contributions by leading researchers in the field, it concretely addresses clustering, multisets, rough sets and fuzzy sets, as well as their applications in areas such as decision-making. The book is divided in four parts, the first of which focuses on clustering and classification. The second part puts the spotlight on multisets, bags, fuzzy bags and other fuzzy extensions, while the third deals with rough sets. Rounding out the coverage, the last part explores fuzzy sets and decision-making.


Optimizing Big Data Management and Industrial Systems With Intelligent Techniques

Optimizing Big Data Management and Industrial Systems With Intelligent Techniques

Author: Öner, Sultan Ceren

Publisher: IGI Global

Published: 2018-12-07

Total Pages: 250

ISBN-13: 1522551387

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In order to survive an increasingly competitive market, corporations must adopt and employ optimization techniques and big data analytics for more efficient product development and value creation. Understanding the strengths, weaknesses, opportunities, and threats of new techniques and manufacturing processes allows companies to succeed during the rise of Industry 4.0. Optimizing Big Data Management and Industrial Systems With Intelligent Techniques explores optimization techniques, recommendation systems, and manufacturing processes that support the evaluation of cyber-physical systems, end-to-end engineering, and digitalized control systems. Featuring coverage on a broad range of topics such as digital economy, fuzzy logic, and data linkage methods, this book is ideally designed for manufacturers, engineers, professionals, managers, academicians, and students.


Multicriteria Decision Analysis in Geographic Information Science

Multicriteria Decision Analysis in Geographic Information Science

Author: Jacek Malczewski

Publisher: Springer

Published: 2015-02-02

Total Pages: 335

ISBN-13: 3540747575

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This book is intended for the GIS Science and Decision Science communities. It is primarily targeted at postgraduate students and practitioners in GIS and urban, regional and environmental planning as well as applied decision analysis. It is also suitable for those studying and working with spatial decision support systems. The main objectives of this book are to effectivley integrate Multicriteria Decision Analysis (MCDA) into Geographic Information Science (GIScience), to provide a comprehensive account of theories, methods, technologies and tools for tackling spatial decision problems and to demonstrate how the GIS-MCDA approaches can be used in a wide range of planning and management situations.


Machine Learning Techniques for Multimedia

Machine Learning Techniques for Multimedia

Author: Matthieu Cord

Publisher: Springer Science & Business Media

Published: 2008-02-07

Total Pages: 297

ISBN-13: 3540751718

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Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Arising from the EU MUSCLE network, this multidisciplinary book provides a comprehensive coverage of the most important machine learning techniques used and their application in this domain.