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Data Intensive Computing for Biodiversity [electronic resource] / by Sarinder K. Dhillon, Amandeep S. Sidhu.

By: Contributor(s): Material type: TextTextSeries: Studies in Computational Intelligence ; 485Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Description: IX, 126 p. 69 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783642380471
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q342
Online resources:
Contents:
Introduction -- Preliminary Study -- Literature Review -- Methodology -- Biodiversity Databases -- Proposed Solution.
In: Springer eBooksSummary: 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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Item type Current library Call number Status Date due Barcode
E-Book E-Book Central Library Available E-50345

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

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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