Very Large Data Bases
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Mining Very Large Databases With Parallel Processing
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Author : Alex A. Freitas
language : en
Publisher: Springer Science & Business Media
Release Date : 1997-11-30
Mining Very Large Databases With Parallel Processing written by Alex A. Freitas 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 1997-11-30 with Computers categories.
Mining Very Large Databases with Parallel Processing addresses the problem of large-scale data mining. It is an interdisciplinary text, describing advances in the integration of three computer science areas, namely `intelligent' (machine learning-based) data mining techniques, relational databases and parallel processing. The basic idea is to use concepts and techniques of the latter two areas - particularly parallel processing - to speed up and scale up data mining algorithms. The book is divided into three parts. The first part presents a comprehensive review of intelligent data mining techniques such as rule induction, instance-based learning, neural networks and genetic algorithms. Likewise, the second part presents a comprehensive review of parallel processing and parallel databases. Each of these parts includes an overview of commercially-available, state-of-the-art tools. The third part deals with the application of parallel processing to data mining. The emphasis is on finding generic, cost-effective solutions for realistic data volumes. Two parallel computational environments are discussed, the first excluding the use of commercial-strength DBMS, and the second using parallel DBMS servers. It is assumed that the reader has a knowledge roughly equivalent to a first degree (BSc) in accurate sciences, so that (s)he is reasonably familiar with basic concepts of statistics and computer science. The primary audience for Mining Very Large Databases with Parallel Processing is industry data miners and practitioners in general, who would like to apply intelligent data mining techniques to large amounts of data. The book will also be of interest to academic researchers and postgraduate students, particularly database researchers, interested in advanced, intelligent database applications, and artificial intelligence researchers interested in industrial, real-world applications of machine learning.
Mining Very Large Databases With Parallel Processing
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Author : Alex A. Freitas
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Mining Very Large Databases With Parallel Processing written by Alex A. Freitas 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 Computers categories.
Mining Very Large Databases with Parallel Processing addresses the problem of large-scale data mining. It is an interdisciplinary text, describing advances in the integration of three computer science areas, namely `intelligent' (machine learning-based) data mining techniques, relational databases and parallel processing. The basic idea is to use concepts and techniques of the latter two areas - particularly parallel processing - to speed up and scale up data mining algorithms. The book is divided into three parts. The first part presents a comprehensive review of intelligent data mining techniques such as rule induction, instance-based learning, neural networks and genetic algorithms. Likewise, the second part presents a comprehensive review of parallel processing and parallel databases. Each of these parts includes an overview of commercially-available, state-of-the-art tools. The third part deals with the application of parallel processing to data mining. The emphasis is on finding generic, cost-effective solutions for realistic data volumes. Two parallel computational environments are discussed, the first excluding the use of commercial-strength DBMS, and the second using parallel DBMS servers. It is assumed that the reader has a knowledge roughly equivalent to a first degree (BSc) in accurate sciences, so that (s)he is reasonably familiar with basic concepts of statistics and computer science. The primary audience for Mining Very Large Databases with Parallel Processing is industry data miners and practitioners in general, who would like to apply intelligent data mining techniques to large amounts of data. The book will also be of interest to academic researchers and postgraduate students, particularly database researchers, interested in advanced, intelligent database applications, and artificial intelligence researchers interested in industrial, real-world applications of machine learning.
Very Large Data Bases
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Author : International Conference on Very Large Data Bases
language : en
Publisher:
Release Date : 1984
Very Large Data Bases written by International Conference on Very Large Data Bases and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Database management categories.
Very Large Data Bases
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Author : Wesley W. Chu
language : en
Publisher:
Release Date : 1986
Very Large Data Bases written by Wesley W. Chu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Data base management categories.
The purpose of this conference series is to provide an international forum for the promotion of an understanding of current research, the exchange of ideas, experiences, and future directions for database systems. Database techniques are expanding into many novel environments and application areas, such as office systems, database machines, computer aided design/computer aided manufacturing, historical database systems, distributed database systems, knowledge-based systems, and the management of unformatted data, such as text and graphical images. The contents of these proceedings reflect these areas, with forty-six full papers, two short papers, and position papers for two panel sessions.
Very Large Data Bases
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Author :
language : en
Publisher:
Release Date : 1988
Very Large Data Bases written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Data structures (Computer science) categories.
Proceedings Of The 18th International Conference On Very Large Data Bases
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Author : Li-Yan Yuan
language : en
Publisher: Morgan Kaufmann
Release Date : 1992
Proceedings Of The 18th International Conference On Very Large Data Bases written by Li-Yan Yuan and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.
International Conference On Very Large Data Bases
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Author : International Conference on Very Large Data-Bases
language : en
Publisher:
Release Date : 1993
International Conference On Very Large Data Bases written by International Conference on Very Large Data-Bases and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with categories.
19th International Conference On Very Large Data Bases August 24th 27th 1993 Dublin Ireland
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Author :
language : en
Publisher:
Release Date : 1993
19th International Conference On Very Large Data Bases August 24th 27th 1993 Dublin Ireland written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Database management categories.
Image Databases
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Author : Vittorio Castelli
language : en
Publisher: John Wiley & Sons
Release Date : 2004-04-07
Image Databases written by Vittorio Castelli and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-04-07 with Computers categories.
The explosive growth of multimedia data transmission has generated a critical need for efficient, high-capacity image databases, as well as powerful search engines to retrieve image data from them. This book brings together contributions by an international all-star team of innovators in the field who share their insights into all key aspects of image database and search engine construction. Readers get in-depth discussions of the entire range of crucial image database architecture, indexing and retrieval, transmission, display, and user interface issues. And, using examples from an array of disciplines, the authors present cutting-edge applications in medical imagery, multimedia communications, earth science, remote sensing, and other major application areas.
Making Databases Work
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Author : Michael L. Brodie
language : en
Publisher: Morgan & Claypool
Release Date : 2018-12-14
Making Databases Work written by Michael L. Brodie and has been published by Morgan & Claypool this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-14 with Computers categories.
This book celebrates Michael Stonebraker's accomplishments that led to his 2014 ACM A.M. Turing Award "for fundamental contributions to the concepts and practices underlying modern database systems." The book describes, for the broad computing community, the unique nature, significance, and impact of Mike's achievements in advancing modern database systems over more than forty years. Today, data is considered the world's most valuable resource, whether it is in the tens of millions of databases used to manage the world's businesses and governments, in the billions of databases in our smartphones and watches, or residing elsewhere, as yet unmanaged, awaiting the elusive next generation of database systems. Every one of the millions or billions of databases includes features that are celebrated by the 2014 Turing Award and are described in this book. Why should I care about databases? What is a database? What is data management? What is a database management system (DBMS)? These are just some of the questions that this book answers, in describing the development of data management through the achievements of Mike Stonebraker and his over 200 collaborators. In reading the stories in this book, you will discover core data management concepts that were developed over the two greatest eras (so far) of data management technology. The book is a collection of 36 stories written by Mike and 38 of his collaborators: 23 world-leading database researchers, 11 world-class systems engineers, and 4 business partners. If you are an aspiring researcher, engineer, or entrepreneur you might read these stories to find these turning points as practice to tilt at your own computer-science windmills, to spur yourself to your next step of innovation and achievement.