Data engineering : mining, information and intelligence / edited by Yupo Chan, John R. Talburt, Terry M. Talley
- 其他作者：
- 其他題名：
- Springer eBooks
- Mining, information and intelligence
- 出版： Boston, MA : Springer Science+Business Media, LLC 2010
- 叢書名： International series in operations research & management science ,v.132
- 主題： Data mining. , Database management , Computer science , Database management , Information Storage and Retrieval. , Business Information Systems. , Information Systems and Communication Service. , Operations Research/Decision Theory. , e-Commerce/e-business.
- ISBN： 9781441901767 (electronic bk.) 、 9781441901750 (paper)
- URL：
電子書
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讀者標籤：
- 系統號： 005172326 | 機讀編目格式
館藏資訊
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.