Data-intensive computing : architectures, algorithms, and applications /
"A reference describing the general principles of the emerging field of data-intensive computing, along with methods for designing, managing and analyzing the big data sets of today"--
Clasificación: | Libro Electrónico |
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Otros Autores: | , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Cambridge :
Cambridge University Press,
2013.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Data-intensive computing : a challenge for the 21st century / Ian Gorton and Deborah K. Gracio
- Anatomy of data-intensive computing applications / Ian Gorton and Deborah K. Gracio
- Hardware architectures for data-intensive computing problems : a case study for string matching / Antonino Tumeo, Oreste Villa and Daniel Chavarría-Miranda
- Data management architectures / Terence Critchlow [and others]
- Large scale data management techniques in cloud computing platforms / Sherif Sakr and Anna Liu
- Dimension reduction for streaming data / Chandrika Kamath
- Binary classification with support vector machines / Patrick Nichols, Bobbie-Jo Webb-Robertson and Christopher Oehmen
- Beyond MapReduce : new requirements for scalable data processing / Bill Howe
- Let the data do the talking : hypothesis discovery from large-scale datasets in real time / Christopher Oehmen [and others]
- Data-intensive visual analysis for cybersecurity / William A. Pike [and others].