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Titlebook: Data Intensive Computing for Biodiversity; Sarinder K. Dhillon,Amandeep S. Sidhu Book 2013 Springer-Verlag Berlin Heidelberg 2013 Artifici

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發(fā)表于 2025-3-21 18:19:59 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Data Intensive Computing for Biodiversity
編輯Sarinder K. Dhillon,Amandeep S. Sidhu
視頻videohttp://file.papertrans.cn/263/262841/262841.mp4
概述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
叢書(shū)名稱(chēng)Studies in Computational Intelligence
圖書(shū)封面Titlebook: Data Intensive Computing for Biodiversity;  Sarinder K. Dhillon,Amandeep S. Sidhu Book 2013 Springer-Verlag Berlin Heidelberg 2013 Artifici
描述.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..
出版日期Book 2013
關(guān)鍵詞Artificial Intelligence; Cloud Computing; Computational Intelligence; Data Intensive Scientific Computi
版次1
doihttps://doi.org/10.1007/978-3-642-38047-1
isbn_softcover978-3-642-44189-9
isbn_ebook978-3-642-38047-1Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2013
The information of publication is updating

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Sarinder K. Dhillon,Amandeep S. SidhuLatest research on Data Intensive Scientific Computing.First book of the new subseries Data, Semantics and Cloud Computing.Written by leading experts in the field
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Data Intensive Computing for Biodiversity978-3-642-38047-1Series ISSN 1860-949X Series E-ISSN 1860-9503
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發(fā)表于 2025-3-22 22:03:57 | 只看該作者
Euphrosyne Gouzoulis-Mayfrank,Marc Waltereading from FileMaker DBMSs, retrieving images and a rigid data format. Therefore an alternative database integration system was developed to retrieve data from remote heterogeneous relational biodiversity databases (see Sect. 4.3).
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Co-operative Environmental Governancends of federated architectures are employed, depending on the nature of the databases involved. In particular wrapping techniques are often used to remove some elements of heterogeneity (Roth and Schwarz 1997) and mediators are used to draw together information from disparate sources (Wiederhold 1992).
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