Title Statements
- Full title :Data-intensive computing : architectures, algorithms, and applications / ed. by Ian Gorton, Deborah K. Gracio
Edition Statements
- Publication Date:2013
Publication Statements
- Publisher(s):Cambridge University Press
- Place of Publication:Cambridge
- Language:eng
- Publication Date:2013
The Physical Object
- Description:viii, 290 s. : : illustrations
Edition Identifiers
- ISBN:9780521191951, 0521191955
- oclc:ocn930562282
- LC Classification:QA76.88
- Dewey Decimal:004.5
Table of Contents
1. Data-intensive computing: a challenge for the 21st century / Ian Gorton and Deborah K. Gracio; 2. Anatomy of data-intensive computing applications / Ian Gorton and Deborah K. Gracio; 3. Hardware architectures for data-intensive computing problems: a case study for string matching / Antonino Tumeo, Oreste Villa and Daniel Chavarría-Miranda; 4. Data management architectures / Terence Critchlow, Ghaleb Abdulla, Jacek Becla, Kerstin Kleese-Van Dam, Sam Lang and Deborah L. McGuinness; 5. Large scale data management techniques in cloud computing platforms / Sherif Sakr and Anna Liu; 6. Dimension reduction for streaming data / Chandrika Kamath; 7. Binary classification with support vector machines / Patrick Nichols, Bobbie-Jo Webb-Robertson and Christopher Oehmen; 8. Beyond MapReduce: new requirements for scalable data processing / Bill Howe; 9. Letting the data do the talking: hypothesis discovery from large-scale datasets in real time / Christopher Oehmen, Scott Dowson, Wes Hatley, Justin Almquist, Bobbie-Jo Webb-Robertson, Jason McDermott, Ian Gorton and Lee Ann McCue; 10. Data-intensive visual analysis for cybersecurity / William A. Pike, Daniel M. Best, Douglas V. Love and Shawn …
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