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020 _a9783030439811
_9978-3-030-43981-1
024 7 _a10.1007/978-3-030-43981-1
_2doi
050 4 _aTK5101-5105.9
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
_2thema
082 0 4 _a621.382
_223
245 1 0 _aPrinciples of Data Science
_h[electronic resource] /
_cedited by Hamid R. Arabnia, Kevin Daimi, Robert Stahlbock, Cristina Soviany, Leonard Heilig, Kai Brüssau.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXIV, 276 p. 102 illus., 55 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 _aTransactions on Computational Science and Computational Intelligence,
_x2569-7080
505 0 _aIntroduction -- Data Acquisition, Extraction, and Cleaning -- Data Summarization and Modeling -- Data Analysis and Communication Techniques -- Data Science Tools -- Deep Learning in Data Science -- Data Science Applications -- Conclusion.
520 _aThis book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces readers to various techniques for data acquisition, extraction, and cleaning, data summarizing and modeling, data analysis and communication techniques, data science tools, deep learning, and various data science applications. Researchers can extract and conclude various future ideas and topics that could result in potential publications or thesis. Furthermore, this book contributes to Data Scientists’ preparation and to enhancing their knowledge of the field. The book provides a rich collection of manuscripts in highly regarded data science topics, edited by professors with long experience in the field of data science. Introduces various techniques, methods, and algorithms adopted by Data Science experts Provides a detailed explanation of data science perceptions, reinforced by practical examples Presents a road map of future trends suitable for innovative data science research and practice.
650 0 _aTelecommunication.
_910437
650 0 _aComputational intelligence.
_97716
650 0 _aInformation storage and retrieval systems.
_922213
650 0 _aPattern recognition systems.
_93953
650 0 _aQuantitative research.
_94633
650 1 4 _aCommunications Engineering, Networks.
_931570
650 2 4 _aComputational Intelligence.
_97716
650 2 4 _aInformation Storage and Retrieval.
_923927
650 2 4 _aAutomated Pattern Recognition.
_931568
650 2 4 _aData Analysis and Big Data.
_935274
700 1 _aArabnia, Hamid R.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_935275
700 1 _aDaimi, Kevin.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_935276
700 1 _aStahlbock, Robert.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_935277
700 1 _aSoviany, Cristina.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_935278
700 1 _aHeilig, Leonard.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_935279
700 1 _aBrüssau, Kai.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_935280
710 2 _aSpringerLink (Online service)
_935281
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030439804
776 0 8 _iPrinted edition:
_z9783030439828
776 0 8 _iPrinted edition:
_z9783030439835
830 0 _aTransactions on Computational Science and Computational Intelligence,
_x2569-7080
_935282
856 4 0 _uhttps://doi.org/10.1007/978-3-030-43981-1
912 _aZDB-2-ENG
912 _aZDB-2-SXE
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