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Titolo: | Advances in Data Science and Management : Proceedings of ICDSM 2019 / / edited by Samarjeet Borah, Valentina Emilia Balas, Zdzislaw Polkowski |
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 |
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 |
Opac: | Controlla la disponibilità qui |