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Proceedings of International Conference on Communication and Computational Technologies [[electronic resource] ] : ICCCT-2019 / / edited by Sunil Dutt Purohit, Dharm Singh Jat, Ramesh Chandra Poonia, Sandeep Kumar, Saroj Hiranwal



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Titolo: Proceedings of International Conference on Communication and Computational Technologies [[electronic resource] ] : ICCCT-2019 / / edited by Sunil Dutt Purohit, Dharm Singh Jat, Ramesh Chandra Poonia, Sandeep Kumar, Saroj Hiranwal Visualizza cluster
Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021
Edizione: 1st ed. 2021.
Descrizione fisica: 1 online resource (652 pages) : illustrations
Disciplina: 006.3
Soggetto topico: Computational intelligence
Artificial intelligence
Electrical engineering
Computer communication systems
Computational Intelligence
Artificial Intelligence
Communications Engineering, Networks
Computer Communication Networks
Persona (resp. second.): PurohitSunil Dutt
Singh JatDharm
PooniaRamesh Chandra
KumarSandeep
HiranwalSaroj
Nota di contenuto: Ability Study of Proximity Measure for Big Data Mining Context on Clustering -- Not Yet Decided -- An Approach to Implement MapReduce and aggregation pipeline utilizing NoSql Technologies -- Energy Hole Alleviation in Wireless sensor.
Sommario/riassunto: This book offers a collection of high-quality peer-reviewed research papers presented at the Second International Conference on Communication and Computational Technologies (ICCCT 2019), held at Rajasthan Institute of Engineering and Technology, Jaipur, Rajasthan, India, on 30–31 August 2019. In contributions prepared by researchers from academia and industry alike, the book discusses a wide variety of industrial, engineering and scientific applications of emerging techniques.
Titolo autorizzato: Proceedings of International Conference on Communication and Computational Technologies  Visualizza cluster
ISBN: 981-15-5077-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910484788103321
Lo trovi qui: Univ. Federico II
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Serie: Algorithms for Intelligent Systems, . 2524-7565