| 000 | 03113nam a22003975i 4500 | ||
|---|---|---|---|
| 001 | 393976 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102123045.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220915s2022 si | s |||| 0|eng d | ||
| 020 | _a9789811951541 | ||
| 024 | 7 |
_a10.1007/978-981-19-5154-1 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC |
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| 245 | 1 | 0 |
_aData Science in Societal Applications _bConcepts and Implications _cedited by Siddharth Swarup Rautaray, Manjusha Pandey, Nhu Gia Nguyen |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aSingapore _bSpringer International Publishing _c2022 |
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| 300 |
_a1 recurso en línea (XI, 193 páginas) _b98 ilustraciones, 88 ilustraciones a color |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 |
_aStudies in Big Data _x2197-6511 _v114 |
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| 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. . | ||
| 700 | 1 |
_aRautaray, Siddharth Swarup _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aPandey, Manjusha _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aNguyen, Nhu Gia _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 776 | 0 | 8 |
_iPrinted edition: _z9789811951534 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811951558 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811951565 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-5154-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 988 | _aSpringer_Computer_2022 | ||
| 999 |
_c393976 _d393976 |
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