Big data management, technologies, and applications: Desarrollo de grandes datos, tecnologias y aplicaciones/
Idioma: Ingles Series Premier reference sourceDetalles de publicación: New york: Alfaomega Colómbia, 2014.Descripción: 480 páginas. 29 x 22 cm Ilustraciones+graficasISBN:- 9781466647015
- Part of the advances in data mining and database management series
- 21 ed. 005.74 H874b1
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Libros General
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BIBLIOTECA EDUARDO COTE LAMUS Sala 2 | Colección General | 005.74 H874b1 (Navegar estantería(Abre debajo)) | C.1 | Disponible | 98549 |
Proyectos de inversión CREE
Incluye referencias bibliograficas e índice
1.Technologies for big data.-- 2.Applying the k-means algorithm in big raw data sets with hadoop and map reduce.-- 3.Synchronizing execution of big data in distributed and parallelized environments.-- 4.Parallel data reduction techniques for big datasets.-- 5.Techniques for sampling online text- based data sets.-- 6.Big data warehouse automatic design methodology.-- 7.Big data management in the context of real- time data warehousing.-- 8.Big data sharing among academics.-- 9.Scalable data mining archiving and big data management for the next generation astronomical telescopes.-- 10.Efficient metaheuristic approaches for exploration of online social networks.-- 11.Big data at scale for digital humanities.-- 12.Geobase.-- 13.Large-scale sensor network analysis.-- 14.Accelerating large-scale genome-wide association studies wide.-- 15.The need to consider hardware selection when designing big data applications supported by metadata.-- 16.Excess entropy in computer systems.-- 17.Areview of system benchmark standards and a look ahead towards an industry standard for benchmarking big data workloads.
