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010   $a981-19-8004-7
024 7 $a10.1007/978-981-19-8004-6
035   $a(MiAaPQ)EBC7191440
035   $a(Au-PeEL)EBL7191440
035   $a(CKB)26089875600041
035   $a(DE-He213)978-981-19-8004-6
035   $a(PPN)268208174
035   $a(EXLCZ)9926089875600041
100   $a20230204d2023      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aComputing for Data Analysis: Theory and Practices /$fby Sanjay Chakraborty, Lopamudra Dey
205   $a1st ed. 2023.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023.
215   $a1 online resource (230 pages)
225 1 $aData-Intensive Research,$x2731-5568
311 08$aPrint version: Chakraborty, Sanjay Computing for Data Analysis: Theory and Practices Singapore : Springer,c2023 9789811980039 
320   $aIncludes bibliographical references.
327   $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 .
330   $aThis book covers various cutting-edge computing technologies and their applications over data. It discusses in-depth knowledge on big data and cloud computing, quantum computing, cognitive computing, and computational biology with respect to different kinds of data analysis and applications. In this book, authors describe some interesting models in the cloud, quantum, cognitive, and computational biology domains that provide some useful impact on intelligent data (emotional, image, etc.) analysis. They also explain how these computing technologies based data analysis approaches used for various real-life applications. The book will be beneficial for readers working in this area.
410  0$aData-Intensive Research,$x2731-5568
606   $aComputational intelligence
606   $aQuantitative research
606   $aCloud computing
606   $aInternet of things
606   $aComputational Intelligence
606   $aData Analysis and Big Data
606   $aCloud Computing
606   $aInternet of Things
615  0$aComputational intelligence.
615  0$aQuantitative research.
615  0$aCloud computing.
615  0$aInternet of things.
615 14$aComputational Intelligence.
615 24$aData Analysis and Big Data.
615 24$aCloud Computing.
615 24$aInternet of Things.
676   $a005.7
700   $aChakraborty$b Sanjay$01228885
702   $aDey$b Lopamudra
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910647786903321
996   $aComputing for data analysis$93364214
997   $aUNINA