Data-intensive computing : architectures, algorithms, and applications /
"A Challenge for the 21st Century Introduction In a world of rapid technological change such as the one we inhabit, it's occasionally instructive to contemplate how much things have changed in the last few years. For many, remembering life without the ability to view the World Wide Web (WW...
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| Format: | eBook |
| Language: | English |
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Cambridge :
Cambridge University Press,
2013.
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Machine generated contents note: 1. Data-intensive computing: a challenge for the 21st century / Ian Gorton and Deborah K. Gracio; 2. The 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 ChavarrÃa-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 J. Bohn.