Simon h lavington (10 Ergebnisse)
- Softcover
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Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Weitere Bilder- Softcover
Anbieter: High Street Books, New Mills, Vereinigtes KönigreichHigh Street Books
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Paperback. Zustand: Very Good. Light wear to the covers. Shipped from the UK in recyclable card packaging.
Weitere Bilder- Softcover
Anbieter: Bookbot, Prague, TschechienBookbot
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Softcover. Zustand: As New. Leichte Kratzer / Abnutzungen / Druckstellen. The innovative, British-designed computers named Pegasus first appeared in 1956 and enjoyed long and successful careers. This book discusses the origins of the Pegasus project from wartime know-how through to the involvement of Ferranti Ltd, giving tribute… to the remarkable achievements of the individual designers. The book also details the technical aspects of Pegasus from an engineering and programming perspective, as well as comparing its performance with other contemporary designs and modern PCs. The role of Pegasus in the marketplace, and its influence on the UK and international computer industry of the 1960s and 1970s are considered. This book will be of interest to all those keen to learn more about one of the most influential computer artefacts in the history of the British information revolution.
- Softcover
Anbieter: Studibuch, Stuttgart, DeutschlandStudibuch
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EUR 7,52
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paperback. Zustand: Gut. 64 Seiten; 9781900747400.3 Gewicht in Gramm: 500.
Sprache: Englisch
Verlag: Springer US, 1997
- Hardcover
Anbieter: Buchpark, Trebbin, DeutschlandBuchpark
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EUR 10,83
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Zustand: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | 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 m…ining 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.
Sprache: Englisch
Verlag: Springer, 2012
- Softcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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EUR 227,14
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Zustand: New. In.
Sprache: Englisch
Verlag: Springer, 1997
- Hardcover
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Zustand: New. In.
Weitere BilderSprache: Englisch
Verlag: Springer US, 2012
- Softcover
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EUR 184,95
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Taschenbuch. Zustand: Neu. Mining Very Large Databases with Parallel Processing | Simon H. Lavington (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2012 | Springer US | EAN 9781461375234 | Verantwortliche Person für die EU: Springer Heidelberg, Tiergartenstr. 17, 69121 Heidelberg, buchhandel-buch[at]springer[dot…]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer US, Springer New York, 2012
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 221,53
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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-bas…ed) 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.
Sprache: Englisch
Verlag: Springer US, Springer US, 1997
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 223,11
EUR 62,55 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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) dat…a 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.
