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Data Intensive Computing for Biodiversity: Studies in Computational Intelligence, cartea 485

Autor Sarinder K. Dhillon, Amandeep S. Sidhu
en Limba Engleză Paperback – 10 iul 2015
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.
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Specificații

ISBN-13: 9783642441899
ISBN-10: 3642441890
Pagini: 136
Ilustrații: IX, 126 p.
Dimensiuni: 155 x 235 x 7 mm
Greutate: 0.2 kg
Ediția:2013
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Studies in Computational Intelligence, Data, Semantics and Cloud Computing

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Introduction.- Preliminary Study.- Literature Review.- Methodology.- Biodiversity Databases.- Proposed Solution.

Textul de pe ultima copertă

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.

Caracteristici

Latest research on Data Intensive Scientific Computing First book of the new subseries Data, Semantics and Cloud Computing Written by leading experts in the field