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Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Data Warehousing and Web Engineering

Data Warehousing and Web Engineering
Author(s)/Editor(s): Shirley Becker (Northern Arizona University, USA)
Copyright: ©2002
DOI: 10.4018/978-1-93177-702-5
ISBN13: 9781931777025
ISBN10: 1931777020
EISBN13: 9781931777216

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Description

Data Warehousing and Web Engineering covers two pertinent topics that are continuously advancing the effective utilization and management of information technology applications. One objective of this book is to provide a forum for researchers and practitioners to share research about technical and managerial issues associated with data warehousing and mining. The other focus of this book is the concept of Web Engineering, as it addresses how the originally intended use of the Web as a distributed system for knowledge-interchange seems to disappear, compared to the increasing number of e-Commerce Web applications. The Web as a global point of sale seems to be very promising but obviously suffered from its heritage – the coarse-grained implementation model, which makes it harder and harder to develop, run and maintain still growing E-Commerce applications. Consequently, Web Engineering concepts are applied to Web-Based E-Commerce applications.



Author's/Editor's Biography

Shirley Becker (Ed.)
Shirley Becker is a Professor of Computer Information Systems at Northern Arizona University, USA, and the recipient of the Mark Layton Award for Research Excellence. Formerly she was at the Florida Institute of Technology and American University in Washington, D.C. Dr. Becker has published more than 50 articles in the areas of Web usability, Web accessibility, database and Web technologies, software engineering and process management. Dr. Becker is an Associate and Section Editor for the Journal of Database Management and Journal of Informing Science, respectively, and she serves on several editorial review boards. She has received awards to fund research from Texas Instruments, IBM, NSF and NASA JPL.

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