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Bibliografická citace

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Boca Raton, FL : CRC Press, Taylor & Francis Group, [2017]
1 online zdroj
Externí odkaz    Plný text PDF 
   * Návod pro vzdálený přístup 


ISBN 9781315154008 (e-book : PDF)
ISBN 9781498768085 (e-book: PDF)
ISBN 9781351640534 (e-book: Mobi)
ISBN 9781498768078 (vázáno)
Chapman & Hall/CRC big data series
A Chapman and Hall book--Cover.
001478560
chapter 1. Big data : legal compliance and quality management / Paolo Balboni and Theodora Dragan -- chapter 2. Energy management for green big data centers / Chonglin Gu, Hejiao Huang, and Xiaohua Jia -- chapter 3. The art of in-memory computing for big data processing / Mihaela-Andreea Vasile and Florin Pop -- chapter 4. Scheduling nested transactions on in-memory data grids / Junwhan Kim, Roberto Palmieri, and Binoy Ravindran -- chapter 5. Co-scheduling high-performance computing applications / Guillaume Aupy, Anne Benoit, Loic Pottier, Padma Raghavan, Yves Robert, and Manu Shantharam -- chapter 6. Resource management for map reduce jobs performing big data analytics / Norman Lim and Shikharesh Majumdar -- chapter 7. Tyche : an efficient ethernet-based protocol for converged networked storage / Pilar Gonzalez-Ferez and Angelos Bilas -- chapter 8. Parallel backpropagation neural network for big data processing on many-core platform / Boyang Li and Chen Liu -- chapter 9. SQL-on-Hadoop systems : state-of-the-art exploration, models, performances, issues, and recommendations / Alfredo Cuzzocrea, Rim Moussa, and Soror Sahri -- chapter 10. One platform rules all : from Hadoop 1.0 to Hadoop 2.0 and Spark / Xiongpai Qin and Keqin Li -- chapter 11. Security, privacy, and trust for user-generated content : the challenges and solutions / Yuhong Liu, Yu Wang, and Nam Ling -- chapter 12. Role of real-time big data processing in the internet of things / Miyuru Dayarathna, Paul Fremantle, Srinath Perera, and Sriskandarajah Suhothayan -- chapter 13. End-to-end security framework for big sensing data streams / Deepak Puthal, Surya Nepal, Rajiv Ranjan, and Jinjun Chen -- chapter 14. Considerations on the use of custom accelerators for big data analytics / Vito Giovanni Castellana, Antonino Tumeo, Marco Minutoli, Marco Lattuada, and Fabrizio Ferrandi --
chapter 15. Complex mining from uncertain big data in distributed environments : problems, definitions, and two effective and efficient algorithms / Alfredo Cuzzocrea, Carson Kai-Sang Leung, Fan Jiang, and Richard Kyle MacKinnon -- chapter 16. Clustering in big data / Min Chen, Simone A. Ludwig, and Keqin Li -- chapter 17. Large graph computing systems / Chengwen Wu, Guangyan Zhang, Keqin Li, and Weimin Zheng -- chapter 18. Big data in genomics / Huaming Chen, Jiangning Song, Jun Shen, and Lei Wang -- chapter 19. Maximizing the return on investment in big data projects : an approach based upon the incremental funding of project development / Antonio Juarez Alencar, Mauro Penha Bastos, Eber Assis Schmitz, Monica Ferreira da Silva, and Petros Sotirios Stefaneas -- chapter 20. Parallel data mining and applications in hospital big data processing / Jianguo Chen, Zhuo Tang, Kenli Li, and Keqin Li -- chapter 21. Big data in the parking lot / Ryan Florin, Syedmeysam Abolghasemi, Aida Ghazi Zadeh, and Stephan Olariu.
(OCoLC)987791136

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