Data Engineering

Mining, Information and Intelligence de

, ,

Éditeur :

Springer


Collection :

International Series in Operations Research & Management Science

Paru le : 2009-10-15

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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.
Pages
447 pages
Collection
International Series in Operations Research & Management Science
Parution
2009-10-15
Marque
Springer
EAN papier
9781441901750
EAN EPUB
9781441901767

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
44
Taille du fichier
4874 Ko
Prix
105,49 €