000 | 04117nam a22005895i 4500 | ||
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001 | 978-3-031-24453-7 | ||
003 | DE-He213 | ||
005 | 20240207153534.0 | ||
007 | cr nn 008mamaa | ||
008 | 230309s2023 sz | s |||| 0|eng d | ||
020 |
_a9783031244537 _9978-3-031-24453-7 |
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_a006.3 _223 |
245 | 1 | 0 |
_aData Science in Applications _h[electronic resource] / _cedited by Gintautas Dzemyda, Jolita Bernatavičienė, Janusz Kacprzyk. |
250 | _a1st ed. 2023. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2023. |
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300 |
_aXII, 252 p. 100 illus., 76 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 Computational Intelligence, _x1860-9503 ; _v1084 |
|
500 | _aAcceso multiusuario | ||
505 | 0 | _aComputational Thinking Design Application for STEAM Education -- Education Data for Science: Case of Lithuania -- Imbalanced Data Classification Approach Based on Clustered Training Set -- Baltic States in Global Value Chains: Quantifying International Production Sharing at Bilateral and Sectoral Levels -- The Soft Power Of Understanding Social Media Dynamics: A Data-Driven Approach -- Bootstrapping Network Autoregressive Models for Testing Linearity -- Novel data science methodologies for essential genes identification based on network analysis -- Acoustic Analysis for Vocal Fold Assessment - Challenges, Trends, and Opportunities -- The Paradigm of an Explainable Artificial Intelligence (XAI) and Data Science (DS) Based Decision Support System (DSS) -- Stock Portfolio Risk-Return Ratio Optimisation using Grey Wolf Model -- Towards Seamless Execution of Deep Learning Application on Heterogeneous HPC Systems. | |
520 | _aThis book provides an overview of a wide range of relevant applications and reveals how to solve them. Many of the latest applications in finance, technology, education, medicine and other important and relevant fields are data-driven. The volumes of data are enormous. Specific methods need to be developed or adapted to solve a particular problem. It illustrates data science in applications. These applications have in common the discovery of knowledge in data and the use of this knowledge to make real decisions. The set of examples presented serves as a recipe book for their direct application to similar problems or as a guide for the development of new, more sophisticated approaches. The intended readership is data scientists looking for appropriate solutions to their problems. In addition, the examples provided serves as material for lectures at universities. | ||
541 |
_fUABC ; _cPerpetuidad |
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650 | 0 | _aComputational intelligence. | |
650 | 0 |
_aEngineering _xData processing. |
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650 | 0 | _aArtificial intelligence. | |
650 | 1 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aData Engineering. |
650 | 2 | 4 | _aArtificial Intelligence. |
700 | 1 |
_aDzemyda, Gintautas. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aBernatavičienė, Jolita. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aKacprzyk, Janusz. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031244520 |
776 | 0 | 8 |
_iPrinted edition: _z9783031244544 |
776 | 0 | 8 |
_iPrinted edition: _z9783031244551 |
830 | 0 |
_aStudies in Computational Intelligence, _x1860-9503 ; _v1084 |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-24453-7 |
912 | _aZDB-2-INR | ||
912 | _aZDB-2-SXIT | ||
942 | _cLIBRO_ELEC | ||
999 |
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