000 03567nam a22005895i 4500
001 978-981-19-5154-1
003 DE-He213
005 20240423130109.0
007 cr nn 008mamaa
008 220915s2022 si | s |||| 0|eng d
020 _a9789811951541
_9978-981-19-5154-1
024 7 _a10.1007/978-981-19-5154-1
_2doi
050 4 _aQ336
072 7 _aUN
_2bicssc
072 7 _aCOM021000
_2bisacsh
072 7 _aUN
_2thema
082 0 4 _a005.7
_223
245 1 0 _aData Science in Societal Applications
_h[electronic resource] :
_bConcepts and Implications /
_cedited by Siddharth Swarup Rautaray, Manjusha Pandey, Nhu Gia Nguyen.
250 _a1st ed. 2022.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2022.
300 _aXI, 193 p. 98 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 ;
_v114
505 0 _aCloud GIS Model for Coastal Geospatial Big Data Analytics -- Appealing AI in Appalling Covid-19 Crisis and the Impending -- Role of Data Science in Programmatic Advertising -- Social Development Data and Societal Modelling: A study in Indian Context -- Deep learning Trends and Inspired Systems in Natural Language Processing.
520 _aThe book provides an insight into the practical applications and theoretical foundation of data science. The book discusses new ways of embracing agile approaches to various facets of data science, including machine learning and artificial intelligence, data mining, data visualization, and communication. The book includes contributions from academia and industry experts detailing the shortfalls of current tools and techniques used and generating the blueprint of the new technologies. The topics covered in the book range from theoretical and foundational research, platforms, methods, applications, and tools in data science. The chapters in the book add a social, geographical, and temporal dimension to data science research. The papers included are application-oriented that prepare and use data in discovery research. This book will provide researchers and practitioners with a detailed snapshot of current progress in data science. Moreover, it will stimulate new study, research, and the development of new applications. .
650 0 _aArtificial intelligence
_xData processing.
650 0 _aApplication software.
650 0 _aBig data.
650 0 _aQuantitative research.
650 1 4 _aData Science.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aBig Data.
650 2 4 _aData Analysis and Big Data.
700 1 _aRautaray, Siddharth Swarup.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aPandey, Manjusha.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aNguyen, Nhu Gia.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811951534
776 0 8 _iPrinted edition:
_z9789811951558
776 0 8 _iPrinted edition:
_z9789811951565
830 0 _aStudies in Big Data,
_x2197-6511 ;
_v114
856 4 0 _uhttps://doi.org/10.1007/978-981-19-5154-1
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c185008
_d185008