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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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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 Visualizza cluster
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 organization
Artificial intelligence
Application software
Computer security
Algorithms
Data Mining and Knowledge Discovery
Computer Systems Organization and Communication Networks
Artificial Intelligence
Information Systems Applications (incl. Internet)
Systems and Data Security
Algorithm Analysis and Problem Complexity
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  Visualizza cluster
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
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Serie: Communications in Computer and Information Science, . 1865-0929 ; ; 891