Data Intensive Computing for Biodiversity
Language: English
Published by Springer, 2013
Series: Book 45 of 538 - Studies in Computational Intelligence
- Hardcover
- New

Seller: Biblios, frankfurt am main, hessen, GermanyBiblios
AbeBooks seller since September 10, 2024
Condition: New
US$ 186.24
Quantity: 4 available
Add to basketItem description from seller
PRINT ON DEMAND pp. 138.
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- Title
- Data Intensive Computing for Biodiversity
- Author
- Sidhu Amandeep S. Dhillon Sarinder K.
- Publisher
- Springer
- Publication year
- 2013
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3642380468
- ISBN 13
- 9783642380464
- Series
- Book 45 of 538: Studies in Computational Intelligence
This book is focused on the development of a data integration framework for retrieval of biodiversity information from heterogeneous and distributed data sources. The data integration system proposed in this book links remote databases in a networked environment, supports heterogeneous databases and data formats, links databases hosted on multiple platforms, and provides data security for database owners by allowing them to keep and maintain their own data and to choose information to be shared and linked. The book is a useful guide for researchers, practitioners, and graduate-level students interested in learning state-of-the-art development for data integration in biodiversity.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This book is focused on the development of a data integration framework for retrieval of biodiversity information from heterogeneous and distributed data sources. The data integration system proposed in this book links remote databases in a networked environment, supports heterogeneous databases and data formats, links databases hosted on multiple platforms, and provides data security for database owners by allowing them to keep and maintain their own data and to choose information to be shared and linked. The book is a useful guide for researchers, practitioners, and graduate-level students interested in learning state-of-the-art development for data integration in biodiversity.
"About the title" may belong to another edition of this title.
Biblios
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