Editors:
- First volume to organize data mining, management, and warehousing into the systematic structure of Data Engineering
- Focuses on recent applied research results applicable to a broad industry-research-academic market
- End-of-chapter exercises for classroom use
- Includes supplementary material: sn.pub/extras
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 132)
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Table of contents (19 chapters)
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Front Matter
About this book
DATA ENGINEERING: Mining, Information, and Intelligence describes applied research aimed at the task of collecting data and distilling useful information from that data. Most of the work presented emanates from research completed through collaborations between Acxiom Corporation and its academic research partners under the aegis of the Acxiom Laboratory for Applied Research (ALAR). Chapters are roughly ordered to follow the logical sequence of the transformation of data from raw input data streams to refined information. Four discrete sections cover Data Integration and Information Quality; Grid Computing; Data Mining; and Visualization. Additionally, there are exercises at the end of each chapter.
The primary audience for this book is the broad base of anyone interested in data engineering, whether from academia, market research firms, or business-intelligence companies. The volume is ideally suited for researchers, practitioners, and postgraduate students alike. With its focus on problems arising from industry rather than a basic research perspective, combined with its intelligent organization, extensive references, and subject and author indices, it can serve the academic, research, and industrial audiences.
Editors and Affiliations
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Dept. Systems Engineering, Donaghey College of Info Sci., University of Arkansas, Little Rock, USA
Yupo Chan
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Dept. Information Science, University of Arkansas, Little Rock, Little Rock, USA
John Talburt
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Acxiom Corporation, Conway, USA
Terry M. Talley
Bibliographic Information
Book Title: Data Engineering
Book Subtitle: Mining, Information and Intelligence
Editors: Yupo Chan, John Talburt, Terry M. Talley
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/978-1-4419-0176-7
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag US 2010
Hardcover ISBN: 978-1-4419-0175-0Published: 28 October 2009
Softcover ISBN: 978-1-4614-2476-5Published: 25 February 2012
eBook ISBN: 978-1-4419-0176-7Published: 15 October 2009
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 1
Number of Pages: XVII, 447
Topics: Database Management, Data Structures and Information Theory, Operations Research, Management Science, Information Storage and Retrieval, IT in Business, Information Systems and Communication Service