Data Intensive Computing for Biodiversity

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.

Résumé

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.

Détails du produit

• Auteurs: Sarinder K Dhillon, Amandeep S. Sidhu, Sarinder K. Dhillon, Sarinder Dhillon, Amandeep S Sidhu
• Edition: Springer, Berlin
• Contenu: Livre
• Forme du produit: Livre Relié
• Date de parution: 03.04.2013
• Catégorie: Sciences naturelles, médecine, it, technique > Technique > Général, dictionnaires
• EAN: 9783642380464
• ISBN: 978-3-642-38046-4
• Nombre de pages: 126
• Illustrations: IX, 126 p.
• Dimensions (emballage): 16,3 x 24 x 1 cm
• Poids (emballage): 321 g
• Thème: Studies in Computational Intelligence > 485; Studies in Computational Intelligence / Data, Semantics and Cloud Computing > .485; Data, Semantics and Cloud Computing; Studies in Computational Intelligence; Data, Semantics and Cloud Computing
• Catégories: B; Artificial Intelligence; engineering; Computational Intelligence