Advances in Data Science / Ilke Demir ... [et al.] editors

• Pubblicazione: Cham, : Springer, 2021
• Descrizione fisica: xx, 364 p. : ill. ; 24 cm
• Soggetto topico: 68-XX - Computer science [MSC 2020]; 94-XX - Information and communication theory, circuits [MSC 2020]; 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]; 68Txx - Artificial intelligence [MSC 2020]; 62-XX - Statistics [MSC 2020]; 62H35 - Image analysis in multivariate analysis [MSC 2020]; 94A08 - Image processing (compression, reconstruction, etc.) in information and communication theory [MSC 2020]; 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020]
• Soggetto non controllato: Data analysis; Discrete approximations; Health science; Incomplete and multi-modal data; Methods involving duality; Networking; Regularization; Spatial-temporal dynamics modeling; Statistical topological learning algorithms; User anonymity
• Persona (resp. second.): Demir, Ilke
• Titolo autorizzato: Advances in Data Science
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN0274518
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: https://doi.org/10.1007/978-3-030-79891-8
• Serie: Association for Women in Mathematics Series Berlin [etc.] . -Springer ; 26