大葉大學圖書館 |

Techniques and environments for big data analysis[electronic resource] :parallel, cloud, and grid computing /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	005.7
書名/作者:	Techniques and environments for big data analysis : parallel, cloud, and grid computing // edited by Bhabani Shankar Prasad Mishra ... [et al.].
其他作者:	Mishra, Bhabani Shankar Prasad.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xi, 191 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Big data.
標題:	Data structures (Computer science)
標題:	Engineering.
標題:	Computational Intelligence.
標題:	Data Mining and Knowledge Discovery.
標題:	Artificial Intelligence (incl. Robotics)
ISBN:	9783319275208
ISBN:	9783319275185
內容註:	Introduction to Big Data Analysis -- Parallel Environments -- A Deep Dive into the Hadoop World to Explore its Various Performances -- Natural Language Processing and Machine Learning for Big Data -- Big Data and Cyber Foraging: Future Scope and Challenges -- Parallel GA in Big Data Analysis -- Evolutionary Algorithm Based Techniques to Handle Big Data -- Statistical and Evolutionary Feature Selection Techniques Parallelized using MapReduce Programming Model -- A Data Aware Scheme for Scheduling Big-Data Applications on SAVANNA Hadoop -- The Role of Grid Technologies: A Next Level Combat with Big Data.
摘要、提要註:	This volume is aiming at a wide range of readers and researchers in the area of Big Data by presenting the recent advances in the fields of Big Data Analysis, as well as the techniques and tools used to analyze it. The book includes 10 distinct chapters providing a concise introduction to Big Data Analysis and recent Techniques and Environments for Big Data Analysis. It gives insight into how the expensive fitness evaluation of evolutionary learning can play a vital role in big data analysis by adopting Parallel, Grid, and Cloud computing environments.
電子資源:	http://dx.doi.org/10.1007/978-3-319-27520-8

Techniques and environments for big data analysis[electronic resource] :parallel, cloud, and grid computing /
Techniques and environments for big data analysisparallel, cloud, and grid computing /[electronic resource] :edited by Bhabani Shankar Prasad Mishra ... [et al.]. - Cham :Springer International Publishing :2016. - xi, 191 p. :ill., digital ;24 cm. - Studies in big data,v.172197-6503 ;. - Studies in big data ;v.7..

Introduction to Big Data Analysis -- Parallel Environments -- A Deep Dive into the Hadoop World to Explore its Various Performances -- Natural Language Processing and Machine Learning for Big Data -- Big Data and Cyber Foraging: Future Scope and Challenges -- Parallel GA in Big Data Analysis -- Evolutionary Algorithm Based Techniques to Handle Big Data -- Statistical and Evolutionary Feature Selection Techniques Parallelized using MapReduce Programming Model -- A Data Aware Scheme for Scheduling Big-Data Applications on SAVANNA Hadoop -- The Role of Grid Technologies: A Next Level Combat with Big Data.

This volume is aiming at a wide range of readers and researchers in the area of Big Data by presenting the recent advances in the fields of Big Data Analysis, as well as the techniques and tools used to analyze it. The book includes 10 distinct chapters providing a concise introduction to Big Data Analysis and recent Techniques and Environments for Big Data Analysis. It gives insight into how the expensive fitness evaluation of evolutionary learning can play a vital role in big data analysis by adopting Parallel, Grid, and Cloud computing environments.

ISBN: 9783319275208

Standard No.: 10.1007/978-3-319-27520-8doiSubjects--Topical Terms:

571002
Big data.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Techniques and environments for big data analysis[electronic resource] :parallel, cloud, and grid computing /
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