Big data, IoT, and machine learning : tools and applications / / editors, Rashmi Agrawal, Marcin Paprzycki, Neha Gupta |
Edizione | [1st Edition.] |
Pubbl/distr/stampa | Boca Raton, FL : , : CRC Press, , 2021 |
Descrizione fisica | 1 online resource (xvii, 319 pages) : illustrations (some colour) |
Disciplina | 005.7 |
Collana | Internet of Everything (IoE): security and privacy paradigm |
Soggetto topico |
Big data
Internet of things Machine learning |
ISBN |
1-000-09828-1
0-429-32299-2 1-000-09830-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Section I: Applications of Machine Learning 1. Machine Learning Classifiers 2. Dimension Reduction Techniques 3. Reviews Analysis of Apple Store Applications Using Supervised Machine Learning 4. Machine Learning for Biomedical and Health Informatics 5. Meta-Heuristic Algorithms: A Concentration on the Applications in Text Mining 6. Optimizing Text Data in Deep Learning: An Experimental Approach Section II: Big Data, Cloud and Internet of Things 7. Latest Data and Analytics Technology Trends That Will Change Business Perspectives 8. A Proposal Based on Discrete Events for Improvement of the Transmission Channels in Cloud Environments and Big Data 9. Heterogeneous Data Fusion for Healthcare Monitoring: A Survey 10. Discriminative and Generative Model Learning for Video Object Tracking 11. Feature, Technology, Application, and Challenges of Internet of Things 12. Analytical Approach to Sustainable Smart City Using IoT and Machine Learning 13. Traffic Flow Prediction with Convolutional Neural Network Accelerated by Spark Distributed Cluster |
Record Nr. | UNINA-9910860823703321 |
Boca Raton, FL : , : CRC Press, , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Smart IoT for Research and Industry |
Autore | Moh Melody |
Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
Descrizione fisica | 1 online resource (219 pages) |
Altri autori (Persone) |
SharmaKanta Prasad
AgrawalRashmi Garcia DiazVicente |
Collana | EAI/Springer Innovations in Communication and Computing Ser. |
Soggetto genere / forma | Electronic books. |
ISBN | 3-030-71485-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910497109303321 |
Moh Melody | ||
Cham : , : Springer International Publishing AG, , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Transforming cybersecurity solutions using blockchain / / Rashmi Agrawal ; Neha Gupta, Editors |
Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (234 pages) |
Disciplina | 005.8 |
Collana | Blockchain Technologies |
Soggetto topico |
Professional computing
Cyber-physical systems, IoT |
ISBN | 981-336-858-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910483891703321 |
Gateway East, Singapore : , : Springer, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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