ENGLISH

Data Engineering: Mining, Information and Intelligence

By Yupo Chan , Terry M. Talley , John R. Talburt , Yupo Chan (auth.) , John Talburt , Terry M. Talley (eds.)

Book information

Publisher
Springer US
Year
2010
ISBN
1441901752, 9781441901750
DOI
10.1007/978-1-4419-0176-7
Language
english
Format
PDF
Filesize
12 MB (12129065 bytes)
Series
International Series in Operations Research & Management Science 132
Edition
1
Pages
447\452
Scanned
yes
Time added
2011-06-04 13:46:07
Database Management; Information Storage and Retri

Description

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.

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