000 | 03567nam a22005895i 4500 | ||
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001 | 978-981-19-5154-1 | ||
003 | DE-He213 | ||
005 | 20240423130109.0 | ||
007 | cr nn 008mamaa | ||
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_a9789811951541 _9978-981-19-5154-1 |
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024 | 7 |
_a10.1007/978-981-19-5154-1 _2doi |
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072 | 7 |
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_aCOM021000 _2bisacsh |
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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. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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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 |
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