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Big data management, technologies, a...

Hu, Wen Chen, (1960-)

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Big data management, technologies, and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data management, technologies, and applications // Wen-Chen Hu and Naima Kaabouch, editors.
other author:	Hu, Wen Chen,
Published:	Hershey, Pennsylvania (701 E. Chocolate Ave., Hershey, PA, 17033) :IGI Global, : [2014],
Description:	1 online resource (342 pages) :ill.
[NT 15003449]:	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.
Subject:	Big data. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-4699-5
ISBN:	9781466647008 (ebook)

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:

2045508
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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010 $a 2013027713
020 $a 9781466647008 (ebook)
020 $a 9781466646995 (hbk.)
035 $a (CaBNVSL)gtp00556817
035 $a (OCoLC)858832187
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040 $a CaBNVSL $b eng $e rda $c CaBNVSL $d CaBNVSL
050 4 $a QA76.9.D32 $b B49 2014e
082 0 4 $a 005.74 $2 23
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 2045508
650 0 $a Database management. $3 527442
700 1 $a Hu, Wen Chen, $d 1960- $3 829128
700 1 $a Kaabouch, Naima, $d 1959- $3 1581145
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