000 | 03730nam a22006015i 4500 | ||
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001 | 978-981-19-8004-6 | ||
003 | DE-He213 | ||
005 | 20240207153444.0 | ||
007 | cr nn 008mamaa | ||
008 | 230204s2023 si | s |||| 0|eng d | ||
020 |
_a9789811980046 _9978-981-19-8004-6 |
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_a006.3 _223 |
100 | 1 |
_aChakraborty, Sanjay. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aComputing for Data Analysis: Theory and Practices _h[electronic resource] / _cby Sanjay Chakraborty, Lopamudra Dey. |
250 | _a1st ed. 2023. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2023. |
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300 |
_aXVIII, 222 p. 91 illus., 69 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 |
||
490 | 1 |
_aData-Intensive Research, _x2731-5568 |
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500 | _aAcceso multiusuario | ||
505 | 0 | _aPart 1. Introduction -- Chapter 1. Introduction -- Part 2. Integration of Cloud, Internet of Things, Virtual Reality and Big Data Analytics -- Chapter 2. Impact of Big Data and Cloud Computing on Data Analysis -- Chapter 3. Edge Computing with Internet of Things (IoT) and Data Analysis -- Chapter 4. Virtual and Augmented Reality with Embedded Systems -- Part 3. Biological Applications of Data Analytics -- Chapter 5. Computational Biology towards Data Analysis -- Chapter 6. Data Classification through Cognitive Computing -- Part 4. Quantum Computing for Data Analysis -- Chapter 7. Quantum Computing in Machine Learning -- Chapter 8. Quantum Computing in Image Processing -- Part 5. Computations for Various Data Applications and Future -- Chapter 9. Challenges and Future Research Directions on Data Computation . | |
520 | _aThis book covers various cutting-edge computing technologies and their applications over data. It discusses in-depth knowledge on big data and cloud computing, quantum computing, cognitive computing, and computational biology with respect to different kinds of data analysis and applications. In this book, authors describe some interesting models in the cloud, quantum, cognitive, and computational biology domains that provide some useful impact on intelligent data (emotional, image, etc.) analysis. They also explain how these computing technologies based data analysis approaches used for various real-life applications. The book will be beneficial for readers working in this area. | ||
541 |
_fUABC ; _cPerpetuidad |
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650 | 0 | _aComputational intelligence. | |
650 | 0 | _aQuantitative research. | |
650 | 0 | _aCloud Computing. | |
650 | 0 | _aInternet of things. | |
650 | 1 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aData Analysis and Big Data. |
650 | 2 | 4 | _aCloud Computing. |
650 | 2 | 4 | _aInternet of Things. |
700 | 1 |
_aDey, Lopamudra. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9789811980039 |
776 | 0 | 8 |
_iPrinted edition: _z9789811980053 |
776 | 0 | 8 |
_iPrinted edition: _z9789811980060 |
830 | 0 |
_aData-Intensive Research, _x2731-5568 |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-19-8004-6 |
912 | _aZDB-2-INR | ||
912 | _aZDB-2-SXIT | ||
942 | _cLIBRO_ELEC | ||
999 |
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