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Advances in Data Science and Management : Proceedings of ICDSM 2019 / / edited by Samarjeet Borah, Valentina Emilia Balas, Zdzislaw Polkowski



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Titolo: Advances in Data Science and Management : Proceedings of ICDSM 2019 / / edited by Samarjeet Borah, Valentina Emilia Balas, Zdzislaw Polkowski Visualizza cluster
Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Edizione: 1st ed. 2020.
Descrizione fisica: 1 online resource (551 pages)
Disciplina: 658.403
Soggetto topico: Computational intelligence
Artificial intelligence
Big data
Data mining
Computational Intelligence
Artificial Intelligence
Big Data
Data Mining and Knowledge Discovery
Persona (resp. second.): BorahSamarjeet
Emilia BalasValentina
PolkowskiZdzislaw
Nota di contenuto: Introduction -- Data and Knowledge Visualization -- Knowledge Discovery and Management -- Application of Data in Cloud -- Deep Learning -- Natural Language Processing, Geo Location Handling -- Application of Data Mining Methods -- Big Data and Applications -- Applications of Virtualized Data.-Data Intelligence in IoT -- Industry 4.0 and Digital Manufacturing -- Data Driven Approximation -- Traffic Engineering -- Artificial Intelligence -- Applications in Transportation -- Jet Grouting Column Diameter Prediction -- Case Studies -- Conclusion.
Sommario/riassunto: This book includes high-quality papers presented at the International Conference on Data Science and Management (ICDSM 2019), organised by the Gandhi Institute for Education and Technology, Bhubaneswar, from 22 to 23 February 2019. It features research in which data science is used to facilitate the decision-making process in various application areas, and also covers a wide range of learning methods and their applications in a number of learning problems. The empirical studies, theoretical analyses and comparisons to psychological phenomena described contribute to the development of products to meet market demands.
Titolo autorizzato: Advances in Data Science and Management  Visualizza cluster
ISBN: 981-15-0978-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910484967503321
Lo trovi qui: Univ. Federico II
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Serie: Lecture Notes on Data Engineering and Communications Technologies, . 2367-4512 ; ; 37