Randomized Algorithms In Automatic Control And Data Mining

Author : Oleg Granichin
Publisher : Springer
ISBN 13 : 3642547869
Total Pages : 268 pages
Book Rating : 4.67/5 ( download)

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Download or read book Randomized Algorithms in Automatic Control and Data Mining written by Oleg Granichin and published by Springer. This book was released on 2014-07-14 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the fields of data mining and control, the huge amount of unstructured data and the presence of uncertainty in system descriptions have always been critical issues. The book Randomized Algorithms in Automatic Control and Data Mining introduces the readers to the fundamentals of randomized algorithm applications in data mining (especially clustering) and in automatic control synthesis. The methods proposed in this book guarantee that the computational complexity of classical algorithms and the conservativeness of standard robust control techniques will be reduced. It is shown that when a problem requires "brute force" in selecting among options, algorithms based on random selection of alternatives offer good results with certain probability for a restricted time and significantly reduce the volume of operations.

Author : Rajeev Motwani
Publisher : Cambridge University Press
ISBN 13 : 1139643134
Total Pages : 496 pages
Book Rating : 4.39/5 ( download)

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Download or read book Randomized Algorithms written by Rajeev Motwani and published by Cambridge University Press. This book was released on 1995-08-25 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: For many applications a randomized algorithm is either the simplest algorithm available, or the fastest, or both. This tutorial presents the basic concepts in the design and analysis of randomized algorithms. The first part of the book presents tools from probability theory and probabilistic analysis that are recurrent in algorithmic applications. Algorithmic examples are given to illustrate the use of each tool in a concrete setting. In the second part of the book, each of the seven chapters focuses on one important area of application of randomized algorithms: data structures; geometric algorithms; graph algorithms; number theory; enumeration; parallel algorithms; and on-line algorithms. A comprehensive and representative selection of the algorithms in these areas is also given. This book should prove invaluable as a reference for researchers and professional programmers, as well as for students.

Author : João Gama
Publisher : Springer Nature
ISBN 13 : 3031059360
Total Pages : 570 pages
Book Rating : 4.60/5 ( download)

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Download or read book Advances in Knowledge Discovery and Data Mining written by João Gama and published by Springer Nature. This book was released on 2022-05-10 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 3-volume set LNAI 13280, LNAI 13281 and LNAI 13282 constitutes the proceedings of the 26th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2022, which was held during May 2022 in Chengdu, China. The 121 papers included in the proceedings were carefully reviewed and selected from a total of 558 submissions. They were organized in topical sections as follows: Part I: Data Science and Big Data Technologies, Part II: Foundations; and Part III: Applications.

Author : Vasant, Pandian
Publisher : IGI Global
ISBN 13 : 1522529918
Total Pages : 812 pages
Book Rating : 4.10/5 ( download)

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Download or read book Handbook of Research on Emergent Applications of Optimization Algorithms written by Vasant, Pandian and published by IGI Global. This book was released on 2017-10-31 with total page 812 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern optimization approaches have attracted an increasing number of scientists, decision makers, and researchers. As new issues in this field emerge, different optimization methodologies must be developed and implemented. The Handbook of Research on Emergent Applications of Optimization Algorithms is an authoritative reference source for the latest scholarly research on modern optimization techniques for solving complex problems of global optimization and their applications in economics and engineering. Featuring coverage on a broad range of topics and perspectives such as hybrid systems, non-cooperative games, and cryptography, this publication is ideally designed for students, researchers, and engineers interested in emerging developments in optimization algorithms.

Author : Tamer Başar
Publisher : Springer
ISBN 13 : 3030046303
Total Pages : 618 pages
Book Rating : 4.09/5 ( download)

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Download or read book Uncertainty in Complex Networked Systems written by Tamer Başar and published by Springer. This book was released on 2018-12-14 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: The chapters in this volume, and the volume itself, celebrate the life and research of Roberto Tempo, a leader in the study of complex networked systems, their analysis and control under uncertainty, and robust designs. Contributors include authorities on uncertainty in systems, robustness, networked and network systems, social networks, distributed and randomized algorithms, and multi-agent systems—all fields that Roberto Tempo made vital contributions to. Additionally, at least one author of each chapter was a research collaborator of Roberto Tempo’s. This volume is structured in three parts. The first covers robustness and includes topics like time-invariant uncertainties, robust static output feedback design, and the uncertainty quartet. The second part is focused on randomization and probabilistic methods, which covers topics such as compressive sensing, and stochastic optimization. Finally, the third part deals with distributed systems and algorithms, and explores matters involving mathematical sociology, fault diagnoses, and PageRank computation. Each chapter presents exposition, provides new results, and identifies fruitful future directions in research. This book will serve as a valuable reference volume to researchers interested in uncertainty, complexity, robustness, optimization, algorithms, and networked systems.

Author : Krassimir T. Atanassov
Publisher : Springer Nature
ISBN 13 : 3030320901
Total Pages : 200 pages
Book Rating : 4.04/5 ( download)

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Download or read book Interval-Valued Intuitionistic Fuzzy Sets written by Krassimir T. Atanassov and published by Springer Nature. This book was released on 2019-09-21 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book offers a comprehensive survey of interval-valued intuitionistic fuzzy sets. It reports on cutting-edge research carried out by the founder of the intuitionistic fuzzy sets, Prof. Krassimir Atanassov, giving a special emphasis to the practical applications of this extension. A few interesting case studies, such as in the area of data mining, decision making and pattern recognition, among others, are discussed in detail. The book offers the first comprehensive guide on interval-valued intuitionistic fuzzy sets. By providing the readers with a thorough survey and important practical details, it is expected to support them in carrying out applied research and to encourage them to test the theory behind the sets for new advanced applications. The book is a valuable reference resource for graduate students and researchers alike.

Author : Giuseppe Nicosia
Publisher : Springer
ISBN 13 : 3319729268
Total Pages : 621 pages
Book Rating : 4.68/5 ( download)

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Download or read book Machine Learning, Optimization, and Big Data written by Giuseppe Nicosia and published by Springer. This book was released on 2017-12-19 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the post-conference proceedings of the Third International Workshop on Machine Learning, Optimization, and Big Data, MOD 2017, held in Volterra, Italy, in September 2017. The 50 full papers presented were carefully reviewed and selected from 126 submissions. The papers cover topics in the field of machine learning, artificial intelligence, computational optimization and data science presenting a substantial array of ideas, technologies, algorithms, methods and applications.

Author : Guiyun Guan
Publisher : Springer Nature
ISBN 13 : 9464630647
Total Pages : 1195 pages
Book Rating : 4.40/5 ( download)

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Download or read book Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022) written by Guiyun Guan and published by Springer Nature. This book was released on 2023-02-11 with total page 1195 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. Such endeavors are making new contributions to the globalization and creating a community of shared future. The 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022) was held on August 19 – 21, 2022, in Hulunbuir, China. With the support of experts and professors, the ICBDSS 2022 conference successfully held its first conference last year. In order to allow more scholars to have the opportunity to participate in the conference to share and exchange experience. This conference mainly focused on "big data", "social science" and other research fields to discuss. At present, my country has entered the era of "big data cloud migration", that is, the era of big data, the Internet of things, cloud computing and mobile Internet. The market demand for big data talents is also increasing day by day. The purpose of the conference is to provide a way for experts, scholars, engineering technicians, and technical R&D personnel engaged in big data and social science research to share scientific research results and cutting-edge technologies, understand academic development trends, broaden research ideas, strengthen academic research and discussion, and promote the academic achievement industry Platform for chemical cooperation. The conference sincerely invites experts, scholars from domestic and foreign universities, scientific research institutions, business people and other relevant personnel to participate in the conference.

Author : Roberto Battiti
Publisher : Springer
ISBN 13 : 3319694049
Total Pages : 390 pages
Book Rating : 4.47/5 ( download)

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Download or read book Learning and Intelligent Optimization written by Roberto Battiti and published by Springer. This book was released on 2017-10-25 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on Learning and Intelligent Optimization, LION 11, held in Nizhny,Novgorod, Russia, in June 2017. The 20 full papers (among these one GENOPT paper) and 15 short papers presented have been carefully reviewed and selected from 73 submissions. The papers explore the advanced research developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence. Special focus is given to advanced ideas, technologies, methods, and applications in optimization and machine learning.

Author : Jörg Franke
Publisher : Trans Tech Publications Ltd
ISBN 13 : 3035733910
Total Pages : 232 pages
Book Rating : 4.14/5 ( download)

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Download or read book Energy Efficiency in Strategy of Sustainable Production IV written by Jörg Franke and published by Trans Tech Publications Ltd. This book was released on 2018-07-20 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Green Factories in Bavaria bundle up the research skills of all relevant fields for energy efficient production, e.g. Mechanical Engineering/Manufacturing Technology, Electrical Engineering, Information Technology, Process Engineering, Materials Science and Economic Science. They also consider all major types of energy, e.g. for motion, illumination, information processing, manufacturing processes and thermal control. Furthermore, Green Factories address the use of energy in production, logistics and administration. With the clear focus on energy efficiency in the production and Bavarian-wide, interdisciplinary collaboration, these Green Factories have to be expanded into an international research network.