Data Intensive Computing for Biodiversity
Dhillon, Sarinder K.
Data Intensive Computing for Biodiversity [electronic resource] / by Sarinder K. Dhillon, Amandeep S. Sidhu. - IX, 126 p. 69 illus. online resource. - Studies in Computational Intelligence, 485 1860-949X ; . - Studies in Computational Intelligence, 485 .
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.
9783642380471
10.1007/978-3-642-38047-1 doi
Engineering.
Artificial intelligence.
Engineering.
Computational Intelligence.
Artificial Intelligence (incl. Robotics).
Q342
006.3
Data Intensive Computing for Biodiversity [electronic resource] / by Sarinder K. Dhillon, Amandeep S. Sidhu. - IX, 126 p. 69 illus. online resource. - Studies in Computational Intelligence, 485 1860-949X ; . - Studies in Computational Intelligence, 485 .
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.
9783642380471
10.1007/978-3-642-38047-1 doi
Engineering.
Artificial intelligence.
Engineering.
Computational Intelligence.
Artificial Intelligence (incl. Robotics).
Q342
006.3