大葉大學圖書館 |

Big data management, technologies, and applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	005.74
書名/作者:	Big data management, technologies, and applications // Wen-Chen Hu and Naima Kaabouch, editors.
其他作者:	Hu, Wen Chen,
出版者:	Hershey, Pennsylvania (701 E. Chocolate Ave., Hershey, PA, 17033) : : IGI Global,, [2014]
面頁冊數:	1 online resource (342 pages) : : ill.
標題:	Big data.
標題:	Database management.
ISBN:	9781466647008 (ebook)
ISBN:	9781466646995 (hbk.)
書目註:	Includes bibliographical references and index.
內容註:	Technologies for big data / Kapil Bakshi -- Applying the K-means algorithm in big raw data sets with Hadoop and MapReduce / Ilias K. Savvas, Georgia N. Sofianidou, M-Tahar Kechadi -- Synchronizing execution of big data in distributed and parallelized environments / Gueyoung Jung, Tridib Mukherjee -- Parallel data reduction techniques for big datasets / Ahmet Artu Yildirim, Cem Ozdogan, Dan Watson -- Techniques for sampling online text-based data sets / Lynne M. Webb, Yuanxin Wang -- Big data warehouse automatic design methodology / Francesco Di Tria, Ezio Lefons, Filippo Tangorra -- Big data management in the context of real-time data warehousing / M. Asif Naeem, Gillian Dobbie, Gerald Weber -- Big data sharing among academics / Jeonghyun Kim -- Scalable data mining, archiving, and big data management for the next generation astronomical telescopes / Chris A. Mattmann [and 12 others] / Efficient metaheuristic approaches for exploration of online social networks / Zorica Stanimirovic, Stefan Miskovic -- Big data at scale for digital humanities: an architecture for the HathiTrust research center / Stacy T. Kowalczyk [and 12 others] -- GeoBase: indexing NetCDF files for large-scale data analysis / Tanu Malik -- Large-scale sensor network analysis: applications in structural health monitoring / Joaquin Vanschoren, Ugo Vespier, Shengfa Miao, Marvin Meeng, Ricardo Cachucho, Arno Knobbe -- Accelerating large-scale genome-wide association studies with graphics processors / Mian Lu, Qiong Luo -- The need to consider hardware selection when designing big data applications supported by metadata / Nathan Regola, David A. Cieslak, Nitesh V. Chawla -- Excess entropy in computer systems / Charles Loboz -- A review of system benchmark standards and a look ahead towards an industry standard for benchmarking big data workloads / Raghunath Nambiar, Meikel Poess.
摘要、提要註:	"This book discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data"--Provided by publisher.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-4699-5

Big data management, technologies, and applications /
Big data management, technologies, and applications /Wen-Chen Hu and Naima Kaabouch, editors. - Hershey, Pennsylvania (701 E. Chocolate Ave., Hershey, PA, 17033) :IGI Global,[2014] - 1 online resource (342 pages) :ill.

Includes bibliographical references and index.

Technologies for big data / Kapil Bakshi -- Applying the K-means algorithm in big raw data sets with Hadoop and MapReduce / Ilias K. Savvas, Georgia N. Sofianidou, M-Tahar Kechadi -- Synchronizing execution of big data in distributed and parallelized environments / Gueyoung Jung, Tridib Mukherjee -- Parallel data reduction techniques for big datasets / Ahmet Artu Yildirim, Cem Ozdogan, Dan Watson -- Techniques for sampling online text-based data sets / Lynne M. Webb, Yuanxin Wang -- Big data warehouse automatic design methodology / Francesco Di Tria, Ezio Lefons, Filippo Tangorra -- Big data management in the context of real-time data warehousing / M. Asif Naeem, Gillian Dobbie, Gerald Weber -- Big data sharing among academics / Jeonghyun Kim -- Scalable data mining, archiving, and big data management for the next generation astronomical telescopes / Chris A. Mattmann [and 12 others] / Efficient metaheuristic approaches for exploration of online social networks / Zorica Stanimirovic, Stefan Miskovic -- Big data at scale for digital humanities: an architecture for the HathiTrust research center / Stacy T. Kowalczyk [and 12 others] -- GeoBase: indexing NetCDF files for large-scale data analysis / Tanu Malik -- Large-scale sensor network analysis: applications in structural health monitoring / Joaquin Vanschoren, Ugo Vespier, Shengfa Miao, Marvin Meeng, Ricardo Cachucho, Arno Knobbe -- Accelerating large-scale genome-wide association studies with graphics processors / Mian Lu, Qiong Luo -- The need to consider hardware selection when designing big data applications supported by metadata / Nathan Regola, David A. Cieslak, Nitesh V. Chawla -- Excess entropy in computer systems / Charles Loboz -- A review of system benchmark standards and a look ahead towards an industry standard for benchmarking big data workloads / Raghunath Nambiar, Meikel Poess.

Restricted to subscribers or individual electronic text purchasers.

"This book discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data"--Provided by publisher.

Mode of access: World Wide Web.

ISBN: 9781466647008 (ebook)

LCCN: 2013027713Subjects--Topical Terms:

571002
Big data.

LC Class. No.: QA76.9.D32 / B49 2014e

Dewey Class. No.: 005.74

Big data management, technologies, and applications /
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020 $a 9781466646995 (hbk.)
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245 0 0 $a Big data management, technologies, and applications / $c Wen-Chen Hu and Naima Kaabouch, editors.
260 $a Hershey, Pennsylvania (701 E. Chocolate Ave., Hershey, PA, 17033) : $b IGI Global, $c [2014]
300 $a 1 online resource (342 pages) : $b ill.
504 $a Includes bibliographical references and index.
505 0 $a Technologies for big data / Kapil Bakshi -- Applying the K-means algorithm in big raw data sets with Hadoop and MapReduce / Ilias K. Savvas, Georgia N. Sofianidou, M-Tahar Kechadi -- Synchronizing execution of big data in distributed and parallelized environments / Gueyoung Jung, Tridib Mukherjee -- Parallel data reduction techniques for big datasets / Ahmet Artu Yildirim, Cem Ozdogan, Dan Watson -- Techniques for sampling online text-based data sets / Lynne M. Webb, Yuanxin Wang -- Big data warehouse automatic design methodology / Francesco Di Tria, Ezio Lefons, Filippo Tangorra -- Big data management in the context of real-time data warehousing / M. Asif Naeem, Gillian Dobbie, Gerald Weber -- Big data sharing among academics / Jeonghyun Kim -- Scalable data mining, archiving, and big data management for the next generation astronomical telescopes / Chris A. Mattmann [and 12 others] / Efficient metaheuristic approaches for exploration of online social networks / Zorica Stanimirovic, Stefan Miskovic -- Big data at scale for digital humanities: an architecture for the HathiTrust research center / Stacy T. Kowalczyk [and 12 others] -- GeoBase: indexing NetCDF files for large-scale data analysis / Tanu Malik -- Large-scale sensor network analysis: applications in structural health monitoring / Joaquin Vanschoren, Ugo Vespier, Shengfa Miao, Marvin Meeng, Ricardo Cachucho, Arno Knobbe -- Accelerating large-scale genome-wide association studies with graphics processors / Mian Lu, Qiong Luo -- The need to consider hardware selection when designing big data applications supported by metadata / Nathan Regola, David A. Cieslak, Nitesh V. Chawla -- Excess entropy in computer systems / Charles Loboz -- A review of system benchmark standards and a look ahead towards an industry standard for benchmarking big data workloads / Raghunath Nambiar, Meikel Poess.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data"--Provided by publisher.
530 $a Also available in print.
538 $a Mode of access: World Wide Web.
650 0 $a Big data. $3 571002
650 0 $a Database management. $3 174575
700 1 $a Hu, Wen Chen, $d 1960- $3 341025
700 1 $a Kaabouch, Naima, $d 1959- $3 480944
856 4 1 $3 Chapter PDFs via platform: $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-4699-5