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Titolo: | Machine learning for predictive analysis : proceedings of ICTIS 2020 / / edited by Amit Joshi, Mahdi Khosravy, Neeraj Gupta |
Pubblicazione: | Singapore : , : Springer, , [2021] |
©2021 | |
Edizione: | 1st ed. 2021. |
Descrizione fisica: | 1 online resource (XXIX, 627 p. 305 illus., 188 illus. in color.) |
Disciplina: | 006.3 |
Soggetto topico: | Machine learning |
Big data | |
Computational intelligence | |
Persona (resp. second.): | KhosravyMahdi |
GuptaNeeraj | |
JoshiAmit | |
Note generali: | Includes index. |
Sommario/riassunto: | This book gathers papers addressing state-of-the-art research in the areas of machine learning and predictive analysis, presented virtually at the Fourth International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2020), India. It covers topics such as intelligent agent and multi-agent systems in various domains, machine learning, intelligent information retrieval and business intelligence, intelligent information system development using design science principles, intelligent web mining and knowledge discovery systems. . |
Titolo autorizzato: | Machine learning for predictive analysis |
ISBN: | 981-15-7106-6 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910484142803321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |