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

Mining Very Large Databases with Parallel Processing (Advances in Database Systems, 9) - Hardcover

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

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 date1997
  • ISBN 10 0792380487
  • ISBN 13 9780792380481
  • BindingHardcover
  • LanguageEnglish
  • Number of pages221

Buy Used

Condition: Very Good
Zustand: Gut | Seiten: 226 | Sprache...
View this item

US$ 51.26 shipping from Germany to U.S.A.

Destination, rates & speeds

Other Popular Editions of the Same Title

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

Featured Edition

ISBN 10:  1461375231 ISBN 13:  9781461375234
Publisher: Springer, 2012
Softcover

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

Stock Image

Simon H. Lavington, Alex A. Freitas
Published by Springer US, 1997
ISBN 10: 0792380487 ISBN 13: 9780792380481
Used Hardcover

Seller: Buchpark, Trebbin, Germany

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

Condition: Gut. Zustand: Gut | Seiten: 226 | Sprache: Englisch | Produktart: Bücher. Seller Inventory # 1369699/203

Contact seller

Buy Used

US$ 40.82
Convert currency
Shipping: US$ 51.26
From Germany to U.S.A.
Destination, rates & speeds

Quantity: 2 available

Add to basket

Stock Image

Alex A. Freitas et Simon H. Lavington
Published by Springer, 1997
ISBN 10: 0792380487 ISBN 13: 9780792380481
Used Hardcover

Seller: Ammareal, Morangis, France

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

Hardcover. Condition: Bon. Ancien livre de bibliothèque. Traces d'usure sur la couverture. Edition 1997. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Signs of wear on the cover. Edition 1997. Ammareal gives back up to 15% of this item's net price to charity organizations. Seller Inventory # E-612-254

Contact seller

Buy Used

US$ 127.62
Convert currency
Shipping: US$ 9.68
From France to U.S.A.
Destination, rates & speeds

Quantity: 1 available

Add to basket

Stock Image

Freitas, Alex A.; Lavington, Simon H.
Published by Springer, 1997
ISBN 10: 0792380487 ISBN 13: 9780792380481
New Hardcover

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 # ABLIING23Feb2416190184980

Contact seller

Buy New

US$ 230.23
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, 1997
ISBN 10: 0792380487 ISBN 13: 9780792380481
New Hardcover
Print on Demand

Seller: moluna, Greven, Germany

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

Gebunden. 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 # 5970633

Contact seller

Buy New

US$ 211.28
Convert currency
Shipping: US$ 55.81
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 Nov 1997, 1997
ISBN 10: 0792380487 ISBN 13: 9780792380481
New Hardcover
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

Buch. 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. 226 pp. Englisch. Seller Inventory # 9780792380481

Contact seller

Buy New

US$ 251.09
Convert currency
Shipping: US$ 26.20
From Germany to U.S.A.
Destination, rates & speeds

Quantity: 2 available

Add to basket

Stock Image

Freitas, Alex A.; Lavington, Simon H.
Published by Springer, 1997
ISBN 10: 0792380487 ISBN 13: 9780792380481
New Hardcover

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 # ria9780792380481_new

Contact seller

Buy New

US$ 266.43
Convert currency
Shipping: US$ 16.21
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, Springer US, 1997
ISBN 10: 0792380487 ISBN 13: 9780792380481
New Hardcover

Seller: AHA-BUCH GmbH, Einbeck, Germany

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

Buch. 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 # 9780792380481

Contact seller

Buy New

US$ 261.78
Convert currency
Shipping: US$ 34.79
From Germany to U.S.A.
Destination, rates & speeds

Quantity: 1 available

Add to basket

Seller Image

Simon H. Lavington
ISBN 10: 0792380487 ISBN 13: 9780792380481
New Hardcover

Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany

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

Buch. Condition: Neu. 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 226 pp. Englisch. Seller Inventory # 9780792380481

Contact seller

Buy New

US$ 251.09
Convert currency
Shipping: US$ 62.65
From Germany to U.S.A.
Destination, rates & speeds

Quantity: 2 available

Add to basket

Stock Image

Freitas, Alex A., Lavington, Simon H.
Published by Springer, 1997
ISBN 10: 0792380487 ISBN 13: 9780792380481
Used Hardcover

Seller: Mispah books, Redhill, SURRE, United Kingdom

Seller rating 4 out of 5 stars 4-star rating, Learn more about seller ratings

Hardcover. Condition: Like New. Like New. book. Seller Inventory # ERICA77307923804876

Contact seller

Buy Used

US$ 372.00
Convert currency
Shipping: US$ 33.82
From United Kingdom to U.S.A.
Destination, rates & speeds

Quantity: 1 available

Add to basket