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Data Intensive Computing for Biodiversity

  • Sarinder K. Dhillon
  • Amandeep S. Sidhu

Part of the Studies in Computational Intelligence book series (SCI, volume 485)

Also part of the Data, Semantics and Cloud Computing book sub series (DSCC, volume 485)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Sarinder K. Dhillon, Amandeep S. Sidhu
    Pages 1-6
  3. Sarinder K. Dhillon, Amandeep S. Sidhu
    Pages 7-21
  4. Sarinder K. Dhillon, Amandeep S. Sidhu
    Pages 23-61
  5. Sarinder K. Dhillon, Amandeep S. Sidhu
    Pages 63-74
  6. Sarinder K. Dhillon, Amandeep S. Sidhu
    Pages 75-83
  7. Sarinder K. Dhillon, Amandeep S. Sidhu
    Pages 85-111
  8. Sarinder K. Dhillon, Amandeep S. Sidhu
    Pages 113-118
  9. Back Matter
    Pages 119-126

About this book

Introduction

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.

Keywords

Artificial Intelligence Cloud Computing Computational Intelligence Data Intensive Scientific Computing

Authors and affiliations

  • Sarinder K. Dhillon
    • 1
  • Amandeep S. Sidhu
    • 2
  1. 1., Institute of Biological SciencesUniversity of MalayaKuala LumpurMalaysia
  2. 2.Curtin University, Department of Electrical andCurtin Sarawak Research InstituteMiriMalaysia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-38047-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-38046-4
  • Online ISBN 978-3-642-38047-1
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site