Overview
- Selected contributions from the 2011 International Conference on Data Engineering and Internet Technology
- This book describe new results and future research directions in data engineering and internet technology
- Written by leading experts in the field
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 157)
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About this book
The latest inventions in internet technology influence most of business and daily activities. Internet security, internet data management, web search, data grids, cloud computing, and web-based applications play vital roles, especially in business and industry, as more transactions go online and mobile. Issues related to ubiquitous computing are becoming critical.
Internet technology and data engineering should reinforce efficiency and effectiveness of business processes. These technologies should help people make better and more accurate decisions by presenting necessary information and possible consequences for the decisions. Intelligent information systems should help us better understand and manage information with ubiquitous data repository and cloud computing.
This book is a compilation of some recent research findings in Internet Technology and Data Engineering. This book provides state-of-the-art accountsin computational algorithms/tools, database management and database technologies, intelligent information systems, data engineering applications, internet security, internet data management, web search, data grids, cloud computing, web-based application, and other related topics.
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Keywords
Table of contents (70 papers)
Editors and Affiliations
Bibliographic Information
Book Title: Recent Progress in Data Engineering and Internet Technology
Book Subtitle: Volume 2
Editors: Ford Lumban Gaol
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-3-642-28798-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2012
Hardcover ISBN: 978-3-642-28797-8Published: 05 April 2012
Softcover ISBN: 978-3-642-44153-0Published: 09 May 2014
eBook ISBN: 978-3-642-28798-5Published: 31 March 2012
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: XII, 536
Topics: Computer Science, general, Database Management, Artificial Intelligence, Data Mining and Knowledge Discovery