The Resource Big Data in Engineering Applications, edited by Sanjiban Sekhar Roy, Pijush Samui, Ravinesh Deo, Stavros Ntalampiras, (electronic resource)

Big Data in Engineering Applications, edited by Sanjiban Sekhar Roy, Pijush Samui, Ravinesh Deo, Stavros Ntalampiras, (electronic resource)

Label
Big Data in Engineering Applications
Title
Big Data in Engineering Applications
Statement of responsibility
edited by Sanjiban Sekhar Roy, Pijush Samui, Ravinesh Deo, Stavros Ntalampiras
Contributor
Editor
Editor
Subject
Language
eng
Summary
This 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
Member of
Dewey number
006.3
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsedt
  • QTb_aibHB2k
  • 8C9dzLup_ms
  • ssorQepcOgA
  • GJfF6AhFJH0
Image bit depth
0
LC call number
Q342
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Roy, Sanjiban Sekhar.
  • Samui, Pijush.
  • Deo, Ravinesh.
  • Ntalampiras, Stavros.
Series statement
Studies in Big Data,
Series volume
44
http://library.link/vocab/subjectName
  • Engineering
  • Big data
  • Computer science
  • Computational Intelligence
  • Big Data
  • Computational Science and Engineering
Label
Big Data in Engineering Applications, edited by Sanjiban Sekhar Roy, Pijush Samui, Ravinesh Deo, Stavros Ntalampiras, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Big 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
Dimensions
unknown
Edition
1st ed. 2018.
Extent
1 online resource (VI, 384 p. 135 illus., 88 illus. in color.)
File format
multiple file formats
Form of item
online
Isbn
9789811084768
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-981-10-8476-8
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)4100000004244309
  • (DE-He213)978-981-10-8476-8
  • (MiAaPQ)EBC5379963
  • (EXLCZ)994100000004244309
Label
Big Data in Engineering Applications, edited by Sanjiban Sekhar Roy, Pijush Samui, Ravinesh Deo, Stavros Ntalampiras, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Big 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
Dimensions
unknown
Edition
1st ed. 2018.
Extent
1 online resource (VI, 384 p. 135 illus., 88 illus. in color.)
File format
multiple file formats
Form of item
online
Isbn
9789811084768
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-981-10-8476-8
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)4100000004244309
  • (DE-He213)978-981-10-8476-8
  • (MiAaPQ)EBC5379963
  • (EXLCZ)994100000004244309

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