Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends

Author:   Viviana E. Ferraggine ,  Jorge H. Doorn ,  Laura C. Rivero
Publisher:   IGI Global
Edition:   Two Volumes
ISBN:  

9781605662428


Pages:   1087
Publication Date:   30 January 2009
Format:   Hardback
Availability:   In Print   Availability explained
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Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends


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Overview

"There are a variety of new directions in which databases are growing, revealing new and exciting challenges and promising changes for the whole of society. """"The Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends"""" provides a wide compendium of references to topics in the field of database systems and applications. Offering an ideal resource of knowledge for students, researchers, and practitioners needing speedy and reliable information and authoritative references in database technologies, this reference book supplies not only broad coverage and definitions of the most important issues, basic concepts, trends, and technologies in this area, but also interesting surveys on classical subjects."

Full Product Details

Author:   Viviana E. Ferraggine ,  Jorge H. Doorn ,  Laura C. Rivero
Publisher:   IGI Global
Imprint:   Information Science Reference
Edition:   Two Volumes
Weight:   3.720kg
ISBN:  

9781605662428


ISBN 10:   1605662429
Pages:   1087
Publication Date:   30 January 2009
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Collaborative software development; Data reengineering; Database technologies; Internet map services; Managing temporal data; Measuring data quality in context; Object-relational modeling; Privacy preserving data mining; Semantics in data integration; Spatial network databases; XML databases; XML document clustering.

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