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| Titolo: |
High-Performance Computing and Big Data Analysis : Second International Congress, TopHPC 2019, Tehran, Iran, April 23–25, 2019, Revised Selected Papers / / edited by Lucio Grandinetti, Seyedeh Leili Mirtaheri, Reza Shahbazian
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| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Edizione: | 1st ed. 2019. |
| Descrizione fisica: | 1 online resource (xiv, 514 pages) : illustrations |
| Disciplina: | 004.3 |
| 004.11 | |
| Soggetto topico: | Data mining |
| Computer engineering | |
| Computer networks | |
| Artificial intelligence | |
| Application software | |
| Data protection | |
| Algorithms | |
| Data Mining and Knowledge Discovery | |
| Computer Engineering and Networks | |
| Artificial Intelligence | |
| Computer and Information Systems Applications | |
| Data and Information Security | |
| Persona (resp. second.): | GrandinettiLucio |
| MirtaheriSeyedeh Leili | |
| ShahbazianReza | |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | Deep Learning -- Big Data Analytics -- Internet of Things -- Data Mining, Neural Network and Genetic Algorithms -- Performance Issues and Quantum Computing -- . |
| Sommario/riassunto: | This book constitutes revised and selected papers from the Second International Congress on High-Performance Computing and Big Data Analysis, TopHPC 2019, held in Tehran, Iran, in April 2019. The 37 full papers and 2 short papers presented in this volume were carefully reviewed and selected from a total of 103 submissions. The papers in the volume are organized acording to the following topical headings: deep learning; big data analytics; Internet of Things.- data mining, neural network and genetic algorithms; performance issuesand quantum computing. |
| Titolo autorizzato: | High-Performance Computing and Big Data Analysis ![]() |
| ISBN: | 3-030-33495-3 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910349271303321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |