9780792380481 - mining very large databases with parallel processing: 9 di freitas, alex a.; lavington, simon hugh (15 risultati)
Lingua: Inglese
Editore: Springer US, 1997
Serie: Advances in Database Systems, Libro 6 di 42. Libro 6 di 42 - Advances in Database Systems
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Da: Buchpark, Trebbin, GermaniaBuchpark
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Condizione: 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) 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.
Lingua: Inglese
Editore: Springer, 1997
Serie: Advances in Database Systems, Libro 6 di 42. Libro 6 di 42 - Advances in Database Systems
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Lingua: Inglese
Editore: Springer, 1997
Serie: Advances in Database Systems, Libro 6 di 42. Libro 6 di 42 - Advances in Database Systems
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Lingua: Inglese
Editore: Springer, 1997
Serie: Advances in Database Systems, Libro 6 di 42. Libro 6 di 42 - Advances in Database Systems
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Lingua: Inglese
Editore: Springer, 1997
Serie: Advances in Database Systems, Libro 6 di 42. Libro 6 di 42 - Advances in Database Systems
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Condizione: New. pp. 228.
Lingua: Inglese
Editore: Springer US, Springer US, 1997
Serie: Advances in Database Systems, Libro 6 di 42. Libro 6 di 42 - Advances in Database Systems
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: 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)…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.
Lingua: Inglese
Editore: Springer, 1997
Serie: Advances in Database Systems, Libro 6 di 42. Libro 6 di 42 - Advances in Database Systems
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Lingua: Inglese
Editore: Springer, 1997
Serie: Advances in Database Systems, Libro 6 di 42. Libro 6 di 42 - Advances in Database Systems
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Lingua: Inglese
Editore: Springer, 1997
Serie: Advances in Database Systems, Libro 6 di 42. Libro 6 di 42 - Advances in Database Systems
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Lingua: Inglese
Editore: Springer US, 1997
Serie: Advances in Database Systems, Libro 6 di 42. Libro 6 di 42 - Advances in Database Systems
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 learni.
Lingua: Inglese
Editore: Springer US Nov 1997, 1997
Serie: Advances in Database Systems, Libro 6 di 42. Libro 6 di 42 - Advances in Database Systems
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 226 pp. Englisch.
Lingua: Inglese
Editore: Springer US, 1997
Serie: Advances in Database Systems, Libro 6 di 42. Libro 6 di 42 - Advances in Database Systems
- Rilegato
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Buch. Condizione: Neu. Mining Very Large Databases with Parallel Processing | Simon H. Lavington (u. a.) | Buch | Englisch | 1997 | Springer US | EAN 9780792380481 | Verantwortliche Person für die EU: Springer Heidelberg, Tiergartenstr. 17, 69121 Heidelberg, buchhandel-buch[at]springer[dot]com | Anbieter: preigu Print on Demand.
Lingua: Inglese
Editore: Springer US, Springer US Nov 1997, 1997
Serie: Advances in Database Systems, Libro 6 di 42. Libro 6 di 42 - Advances in Database Systems
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 lear…ning-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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 226 pp. Englisch.
Lingua: Inglese
Editore: Springer, 1997
Serie: Advances in Database Systems, Libro 6 di 42. Libro 6 di 42 - Advances in Database Systems
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand pp. 228 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
Lingua: Inglese
Editore: Springer, 1997
Serie: Advances in Database Systems, Libro 6 di 42. Libro 6 di 42 - Advances in Database Systems
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. 228.
