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COMPSTAT 2004 - Proceedings in Computational Statistics

Posted By: AvaxGenius
COMPSTAT 2004 - Proceedings in Computational Statistics

COMPSTAT 2004 - Proceedings in Computational Statistics: 16th Symposium Held in Prague, Czech Republic, 2004 by Jaromir Antoch
English | PDF | 2004 | 578 Pages | ISBN : 3790815543 | 67.3 MB

Statistical computing provides the link between statistical theory and applied statistics. As at previous COMPSTAT volumes, the content of the book covers all aspects of this link, from the development and implementation of new statistical ideas to user experiences and software evaluation. The proceedings should appeal to anyone working in statistics and using computers, whether in universities, industrial companies, government agencies, research institutes or as software developers.

Advances in Knowledge Discovery and Management: Volume 10

Posted By: AvaxGenius
Advances in Knowledge Discovery and Management: Volume 10

Advances in Knowledge Discovery and Management: Volume 10 by Rakia Jaziri, Arnaud Martin, Antoine Cornuéjols, Etienne Cuvelier, Fabrice Guillet
English | PDF EPUB (True) | 2024 | 140 Pages | ISBN : 3031404025 | 18.5 MB

This book comprises a distinguished collection of cutting-edge scientific contributions. Encompassing a wide range of subjects, it delves into machine learning, data mining, text analysis, data visualization, knowledge management, and more. The included articles are expanded versions of carefully selected top papers that were originally presented at the EGC’2020 conferences held in Paris (France, January 27-31, 2020). It is intended for researchers interested in these fields, including PhD and MSc students, and researchers from public or private laboratories. These extended versions underwent an additional peer-review process, building upon the already accepted long-format papers from the conference. The selection of long and short papers for the conference itself followed a rigorous double-blind peer-review process, evaluating numerous submissions (with a long paper acceptance rate of approximately 25%). For more details about the EGC society, please consult egc.asso.fr.

Advances in K-means Clustering: A Data Mining Thinking

Posted By: AvaxGenius
Advances in K-means Clustering: A Data Mining Thinking

Advances in K-means Clustering: A Data Mining Thinking by Junjie Wu
English | PDF (True) | 2012 | 187 Pages | ISBN : 3642298060 | 4.4 MB

Nearly everyone knows K-means algorithm in the fields of data mining and business intelligence. But the ever-emerging data with extremely complicated characteristics bring new challenges to this "old" algorithm. This book addresses these challenges and makes novel contributions in establishing theoretical frameworks for K-means distances and K-means based consensus clustering, identifying the "dangerous" uniform effect and zero-value dilemma of K-means, adapting right measures for cluster validity, and integrating K-means with SVMs for rare class analysis. This book not only enriches the clustering and optimization theories, but also provides good guidance for the practical use of K-means, especially for important tasks such as network intrusion detection and credit fraud prediction. The thesis on which this book is based has won the "2010 National Excellent Doctoral Dissertation Award", the highest honor for not more than 100 PhD theses per year in China.

Machine Learning and Its Applications: Advanced Lectures

Posted By: AvaxGenius
Machine Learning and Its Applications: Advanced Lectures

Machine Learning and Its Applications: Advanced Lectures by Georgios Paliouras, Vangelis Karkaletsis, Constantine D. Spyropoulos
English | PDF | 2001 | 334 Pages | ISBN : 3540424903 | 3.6 MB

In recent years machine learning has made its way from artificial intelligence into areas of administration, commerce, and industry. Data mining is perhaps the most widely known demonstration of this migration, complemented by less publicized applications of machine learning like adaptive systems in industry, financial prediction, medical diagnosis and the construction of user profiles for Web browsers.

Social Network Large-Scale Decision-Making

Posted By: AvaxGenius
Social Network Large-Scale Decision-Making

Social Network Large-Scale Decision-Making: Developing Decision Support Methods at Scale and Social Networks by Zhijiao Du , Sumin Yu
English | PDF EPUB (True) | 2023 | 157 Pages | ISBN : 9819977932 | 24.3 MB

This book focuses on the following three key topics in social network large-scale decision-making: structure-heterogeneous information fusion, clustering analysis with multiple measurement attributes, and consensus building considering trust loss. To address the aggregation and distance measurement of structure-heterogeneous evaluation information, we propose a fusion method based on trust and behavior analysis. Then, two clustering algorithms are put forward, including trust Cop-K-means clustering algorithm and compatibility distance-oriented off-center clustering algorithm. The above clustering algorithms emphasize the similarity of opinions and social relationships as important measurement attributes of clustering. Finally, this book explores the impact of trust loss originating from social relationships on the CRP and develops two consensus-reaching models, namely the improved minimum-cost consensus model that takes into account voluntary trust loss and the punishment-driven consensus-reaching model. Some case studies, a large number of numerical experiments, and comparative analyses are provided in this book to demonstrate the characteristics and advantages of the proposed methods and models.

Clusters in Nuclei, Volume 3

Posted By: AvaxGenius
Clusters in Nuclei, Volume 3

Clusters in Nuclei, Volume 3 by Christian Beck
English | PDF (True) | 2014 | 255 Pages | ISBN : 331901076X | 10.3 MB

Following the pioneering discovery of alpha clustering and of molecular resonances, the field of nuclear clustering is today one of those domains of heavy-ion nuclear physics that faces the greatest challenges, yet also contains the greatest opportunities. After many summer schools and workshops, in particular over the last decade, the community of nuclear molecular physicists has decided to collaborate in producing a comprehensive collection of lectures and tutorial reviews covering the field. This third volume follows the successful Lect. Notes Phys. 818 (Vol. 1) and 848 (Vol. 2), and comprises six extensive lectures covering the following topics:

Ubiquitous Knowledge Discovery: Challenges, Techniques, Applications

Posted By: AvaxGenius
Ubiquitous Knowledge Discovery: Challenges, Techniques, Applications

Ubiquitous Knowledge Discovery: Challenges, Techniques, Applications by Michael May, Lorenza Saitta
English | PDF | 2010 | 261 Pages | ISBN : 3642163912 | 4.8 MB

Knowledge discovery in ubiquitous environments is an emerging area of research at the intersection of the two major challenges of highly distributed and mobile systems and advanced knowledge discovery systems. It aims to provide a unifying framework for systematically investigating the mutual dependencies of otherwise quite unrelated technologies employed in building next-generation intelligent systems: machine learning, data mining, sensor networks, grids, peer-to-peer networks, data stream mining, activity recognition, Web 2.0, privacy, user modelling and others. This state-of-the-art survey is the outcome of a large number of workshops, summer schools, tutorials and dissemination events organized by KDubiq (Knowledge Discovery in Ubiquitous Environments), a networking project funded by the European Commission to bring together researchers and practitioners of this emerging community. It provides in its first part a conceptual foundation for the new field of ubiquitous knowledge discovery - highlighting challenges and problems, and proposing future directions in the area of 'smart', 'adaptive', and 'intelligent' learning. The second part of this volume contains selected approaches to ubiquitous knowledge discovery and treats specific aspects in detail. The contributions have been carefully selected to provide illustrations and in-depth discussions for some of the major findings of Part I.

Classification, Clustering, and Data Analysis: Recent Advances and Applications

Posted By: AvaxGenius
Classification, Clustering, and Data Analysis: Recent Advances and Applications

Classification, Clustering, and Data Analysis: Recent Advances and Applications by Krzysztof Jajuga, Andrzej Sokołowski, Hans-Hermann Bock
English | PDF (True) | 2002 | 468 Pages | ISBN : 354043691X | 42.5 MB

The present volume contains a selection of papers presented at the Eighth Conference of the International Federation of Classification Societies (IFCS) which was held in Cracow, Poland, July 16-19, 2002. All originally submitted papers were subject to a reviewing process by two independent referees, a procedure which resulted in the selection of the 53 articles presented in this volume. These articles relate to theoretical investigations as well as to practical applications and cover a wide range of topics in the broad domain of classifi­ cation, data analysis and related methods. If we try to classify the wealth of problems, methods and approaches into some representative (partially over­ lapping) groups, we find in particular the following areas: • Clustering • Cluster validation • Discrimination • Multivariate data analysis • Statistical methods • Symbolic data analysis • Consensus trees and phylogeny • Regression trees • Neural networks and genetic algorithms • Applications in economics, medicine, biology, and psychology.

International Conference on IoT, Intelligent Computing and Security: Select Proceedings of IICS 2021

Posted By: AvaxGenius
International Conference on IoT, Intelligent Computing and Security: Select Proceedings of IICS 2021

International Conference on IoT, Intelligent Computing and Security: Select Proceedings of IICS 2021 by Rajeev Agrawal, Pabitra Mitra, Arindam Pal, Madhu Sharma Gaur
English | PDF,EPUB | 2023 | 488 Pages | ISBN : 9811981353 | 82.5 MB

This book comprises select peer-reviewed papers from the International Conference on IoT, Intelligent Computing and Security, IICS 2021. The contents focus on the latest research in artificial intelligence, IoT, intelligent computing, and leading technological convergence security challenges. The book also discusses AI-driven automation of highly connected smart devices across the globe presenting the fast technological shift with the futuristic scenario, bursting perspective of IoT, computational intelligence, and security concerns. This book supports the transfer of vital knowledge to the next generation of researchers, students, and practitioners in academia and industry.

Automata and Complexity: Essays Presented to Eric Goles on the Occasion of His 70th Birthday (Repost)

Posted By: AvaxGenius
Automata and Complexity: Essays Presented to Eric Goles on the Occasion of His 70th Birthday (Repost)

Automata and Complexity: Essays Presented to Eric Goles on the Occasion of His 70th Birthday by Andrew Adamatzky
English | EPUB | 2022 | 478 Pages | ISBN : 3030925501 | 108.2 MB

This book commemorates Eric Goles’s achievements in science and engineering. Eric Goles is one of the world leaders in the field of automata and complexity. His groundbreaking discoveries are in the theory and analysis of complex systems, particularly in the field of discrete systems dynamics such as neural networks, automata networks, majority networks, bootstrap percolation models, cellular automata, computational complexity theory, discrete mathematics, and theoretical computer science. Topics include cellular automata, complex networks, models of computation, expansive systems, sandpile automata, Penrose tilings, Boolean automata, models of infection, Fibonacci trees, dominos, reversible automata, and fungal automata.

Advances in Knowledge Discovery and Management: Volume 9

Posted By: AvaxGenius
Advances in Knowledge Discovery and Management: Volume 9

Advances in Knowledge Discovery and Management: Volume 9 by Rakia Jaziri, Arnaud Martin, Marie-Christine Rousset, Lydia Boudjeloud-Assala, Fabrice Guillet
English | EPUB | 2022 | 207 Pages | ISBN : 3030902862 | 17.7 MB

This book is a collection of high scientific novel contributions addressing several of these challenges. These articles are extended versions of a selection of the best papers that were initially presented at the French-speaking conferences EGC’2019held in Metz (France, January 21-25, 2019).

Theory of Agglomerative Hierarchical Clustering

Posted By: AvaxGenius
Theory of Agglomerative Hierarchical Clustering

Theory of Agglomerative Hierarchical Clustering by Sadaaki Miyamoto
English | EPUB | 2022 | 117 Pages | ISBN : 9811904197 | 8.1 MB

This book discusses recent theoretical developments in agglomerative hierarchical clustering. The general understanding of agglomerative hierarchical clustering is that its theory was completed long ago and there is no room for further methodological studies, at least in its fundamental structure. This book has been planned counter to that view: it will show that there are possibilities for further theoretical studies and they will be not only for methodological interests but also for usefulness in real applications. When compared with traditional textbooks, the present book has several notable features. First, standard linkage methods and agglomerative procedure are described by a general algorithm in which dendrogram output is expressed by a recursive subprogram.

Automata and Complexity: Essays Presented to Eric Goles on the Occasion of His 70th Birthday

Posted By: AvaxGenius
Automata and Complexity: Essays Presented to Eric Goles on the Occasion of His 70th Birthday

Automata and Complexity: Essays Presented to Eric Goles on the Occasion of His 70th Birthday by Andrew Adamatzky
English | EPUB | 2022 | 478 Pages | ISBN : 3030925501 | 108.2 MB

This book commemorates Eric Goles’s achievements in science and engineering. Eric Goles is one of the world leaders in the field of automata and complexity. His groundbreaking discoveries are in the theory and analysis of complex systems, particularly in the field of discrete systems dynamics such as neural networks, automata networks, majority networks, bootstrap percolation models, cellular automata, computational complexity theory, discrete mathematics, and theoretical computer science. Topics include cellular automata, complex networks, models of computation, expansive systems, sandpile automata, Penrose tilings, Boolean automata, models of infection, Fibonacci trees, dominos, reversible automata, and fungal automata.

Partitional Clustering Algorithms (Repost)

Posted By: AvaxGenius
Partitional Clustering Algorithms (Repost)

Partitional Clustering Algorithms by M. Emre Celebi
English | PDF | 2015 | 420 Pages | ISBN : 3319092588 | 8.1 MB

This book summarizes the state-of-the-art in partitional clustering. Clustering, the unsupervised classification of patterns into groups, is one of the most important tasks in exploratory data analysis. Primary goals of clustering include gaining insight into, classifying, and compressing data. Clustering has a long and rich history that spans a variety of scientific disciplines including anthropology, biology, medicine, psychology, statistics, mathematics, engineering, and computer science. As a result, numerous clustering algorithms have been proposed since the early 1950s. Among these algorithms, partitional (nonhierarchical) ones have found many applications, especially in engineering and computer science. This book provides coverage of consensus clustering, constrained clustering, large scale and/or high dimensional clustering, cluster validity, cluster visualization, and applications of clustering.

"Computational Statistics and Applications" ed. by Ricardo López-Ruiz

Posted By: exLib
"Computational Statistics and Applications" ed. by Ricardo López-Ruiz

"Computational Statistics and Applications" ed. by Ricardo López-Ruiz
ITexLi | 2022 | ISBN: 1839697830 9781839697838 1839697822 9781839697821 1839697849 9781839697845 | 184 pages | PDF | 8 MB

This volume examines different statistical questions and techniques in the context of machine learning and clustering methods, the frailty models used in survival analysis, and other studies of statistics applied to diverse problems.