Items related to Mining Very Large Databases with Parallel Processing...

Mining Very Large Databases with Parallel Processing (Advances in Database Systems) - Softcover

 
9781461375234: Mining Very Large Databases with Parallel Processing (Advances in Database Systems)

Synopsis

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.

"synopsis" may belong to another edition of this title.

  • PublisherSpringer
  • Publication date2012
  • ISBN 10 1461375231
  • ISBN 13 9781461375234
  • BindingPaperback
  • LanguageEnglish
  • Number of pages221

Other Popular Editions of the Same Title

9780792380481: Mining Very Large Databases with Parallel Processing (Advances in Database Systems, 9)

Featured Edition

ISBN 10:  0792380487 ISBN 13:  9780792380481
Publisher: Springer, 1997
Hardcover

Search results for Mining Very Large Databases with Parallel Processing...

Stock Image

Freitas, Alex A. A.; Lavington, Simon H.
Published by Springer, 2012
ISBN 10: 1461375231 ISBN 13: 9781461375234
New Softcover

Seller: Lucky's Textbooks, Dallas, TX, U.S.A.

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Condition: New. Seller Inventory # ABLIING23Mar2716030033977

Contact seller

Buy New

US$ 229.85
Convert currency
Shipping: US$ 3.99
Within U.S.A.
Destination, rates & speeds

Quantity: Over 20 available

Add to basket

Seller Image

Alex A. Freitas|Simon H. Lavington
Published by Springer US, 2012
ISBN 10: 1461375231 ISBN 13: 9781461375234
New Softcover
Print on Demand

Seller: moluna, Greven, Germany

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Condition: 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. Seller Inventory # 4195653

Contact seller

Buy New

US$ 211.56
Convert currency
Shipping: US$ 55.88
From Germany to U.S.A.
Destination, rates & speeds

Quantity: Over 20 available

Add to basket

Seller Image

Simon H. Lavington
Published by Springer US Okt 2012, 2012
ISBN 10: 1461375231 ISBN 13: 9781461375234
New Taschenbuch
Print on Demand

Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Taschenbuch. Condition: 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. 228 pp. Englisch. Seller Inventory # 9781461375234

Contact seller

Buy New

US$ 251.42
Convert currency
Shipping: US$ 26.24
From Germany to U.S.A.
Destination, rates & speeds

Quantity: 2 available

Add to basket

Stock Image

Freitas, Alex A. A.; Lavington, Simon H.
Published by Springer, 2012
ISBN 10: 1461375231 ISBN 13: 9781461375234
New Softcover

Seller: Ria Christie Collections, Uxbridge, United Kingdom

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Condition: New. In. Seller Inventory # ria9781461375234_new

Contact seller

Buy New

US$ 266.63
Convert currency
Shipping: US$ 16.22
From United Kingdom to U.S.A.
Destination, rates & speeds

Quantity: Over 20 available

Add to basket

Seller Image

Simon H. Lavington
Published by Springer US, 2012
ISBN 10: 1461375231 ISBN 13: 9781461375234
New Taschenbuch

Seller: AHA-BUCH GmbH, Einbeck, Germany

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Taschenbuch. Condition: 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. Seller Inventory # 9781461375234

Contact seller

Buy New

US$ 254.44
Convert currency
Shipping: US$ 33.95
From Germany to U.S.A.
Destination, rates & speeds

Quantity: 1 available

Add to basket

Seller Image

Simon H. Lavington
ISBN 10: 1461375231 ISBN 13: 9781461375234
New Taschenbuch
Print on Demand

Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Taschenbuch. Condition: 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 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 228 pp. Englisch. Seller Inventory # 9781461375234

Contact seller

Buy New

US$ 251.42
Convert currency
Shipping: US$ 62.74
From Germany to U.S.A.
Destination, rates & speeds

Quantity: 1 available

Add to basket