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020 _a9789811084768
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024 7 _a10.1007/978-981-10-8476-8
_2doi
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072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
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082 0 4 _a006.3
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245 1 0 _aBig Data in Engineering Applications
_h[electronic resource] /
_cedited by Sanjiban Sekhar Roy, Pijush Samui, Ravinesh Deo, Stavros Ntalampiras.
250 _a1st ed. 2018.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2018.
300 _aVI, 384 p. 135 illus., 88 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Big Data,
_x2197-6511 ;
_v44
505 0 _aBig Data Applications in Education and Health Care -- Analysis of Compressive strength of alkali activated cement using Big data analysis -- Application of cluster based AI methods on daily streamflows -- Bigdata applications to smart power systems -- Big Data in e-commerce -- Interaction of Independent Component Analysis (ICA) and Support Vector Machine (SVM) in exploration of Greenfield areas -- Big Data Analysis of decay Coefficient of Naval Propulsion Plant -- Information Extraction and Text Summarization in documents using Apache Spark -- Detecting Outliers from Big Data Streams -- Machine Learning in Big Data Applications.
520 _aThis book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It covers the applications of Big Data ranging from conventional fields of mechanical engineering, civil engineering to electronics, electrical, and computer science to areas in pharmaceutical and biological sciences. This book consists of contributions from various authors from all sectors of academia and industries, demonstrating the imperative application of Big Data for the decision-making process in sectors where the volume, variety, and velocity of information keep increasing. The book is a useful reference for graduate students, researchers and scientists interested in exploring the potential of Big Data in the application of engineering areas.
650 0 _aComputational intelligence.
_97716
650 0 _aBig data.
_94174
650 0 _aMathematics—Data processing.
_931594
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aBig Data.
_94174
650 2 4 _aComputational Science and Engineering.
_951133
700 1 _aRoy, Sanjiban Sekhar.
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700 1 _aSamui, Pijush.
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_951135
700 1 _aDeo, Ravinesh.
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_951136
700 1 _aNtalampiras, Stavros.
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710 2 _aSpringerLink (Online service)
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776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aStudies in Big Data,
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856 4 0 _uhttps://doi.org/10.1007/978-981-10-8476-8
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