03581nam 22006495 450 991064778690332120251113205723.0981-19-8004-710.1007/978-981-19-8004-6(MiAaPQ)EBC7191440(Au-PeEL)EBL7191440(CKB)26089875600041(DE-He213)978-981-19-8004-6(PPN)268208174(EXLCZ)992608987560004120230204d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierComputing for Data Analysis: Theory and Practices /by Sanjay Chakraborty, Lopamudra Dey1st ed. 2023.Singapore :Springer Nature Singapore :Imprint: Springer,2023.1 online resource (230 pages)Data-Intensive Research,2731-5568Print version: Chakraborty, Sanjay Computing for Data Analysis: Theory and Practices Singapore : Springer,c2023 9789811980039 Includes bibliographical references.Part 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 .This 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.Data-Intensive Research,2731-5568Computational intelligenceQuantitative researchCloud computingInternet of thingsComputational IntelligenceData Analysis and Big DataCloud ComputingInternet of ThingsComputational intelligence.Quantitative research.Cloud computing.Internet of things.Computational Intelligence.Data Analysis and Big Data.Cloud Computing.Internet of Things.005.7Chakraborty Sanjay1228885Dey LopamudraMiAaPQMiAaPQMiAaPQBOOK9910647786903321Computing for data analysis3364214UNINA