Details

Subject(s)

• Big data [Browse]
• Data mining [Browse]
• Information storage and retrieval systems [Browse]

Editor

• Li, Kuan-Ching [Browse]
• Jiang, Hai [Browse]
• Zomaya, Albert Y. [Browse]

Series

• Chapman & Hall/CRC big data series. [More in this series]
• Chapman & Hall/CRC Big Data Series

Summary note

This book aims to bridge the gap between large amounts of data and appropriate computational and management methods for scientific discovery. It explores technologies for media/data communication, elastic media/data storage, and cross-network media/data fusion.

Notes

A Chapman and Hall book--Cover.

Bibliographic references

Includes bibliographical references at the end of each chapters and index.

Source of description

Description based on print version record.

Contents

• 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.

Show 18 more Contents items

ISBN

• 1-315-15400-5
• 1-351-65004-1
• 1-4987-6808-3

OCLC

• 987791136
• 988082487

Doi

• 10.1201/9781315154008

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