Business Intelligence and Big Data [[electronic resource] ] : 7th European Summer School, eBISS 2017, Bruxelles, Belgium, July 2–7, 2017, Tutorial Lectures / / edited by Esteban Zimányi

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
• Edizione: 1st ed. 2018.
• Descrizione fisica: 1 online resource (XI, 155 p. 45 illus.)
• Disciplina: 658.4038
• Soggetto topico: Information storage and retrieval; Big data; Artificial intelligence; Application software; Data mining; Information Storage and Retrieval; Big Data/Analytics; Artificial Intelligence; Computer Appl. in Administrative Data Processing; Data Mining and Knowledge Discovery
• Persona (resp. second.): ZimányiEsteban
• Nota di contenuto: An Introduction to Data Profiling -- Programmatic ETL -- Temporal Data Management - An Overview -- Historical Graphs: Models, Storage, Processing -- Three Big Data Tools for a Data Scientist's Toolbox -- Let's open the black box of deep learning.
• Sommario/riassunto: This book constitutes revised tutorial lectures of the 7th European Business Intelligence and Big Data Summer School, eBISS 2017, held in Bruxelles, Belgium, in July 2017. The tutorials were given by renowned experts and covered advanced aspects of business intelligence and big data. This summer school, presented by leading researchers in the field, represented an opportunity for postgraduate students to equip themselves with the theoretical, practical, and collaboration skills necessary for developing challenging business intelligence applications. .
• Titolo autorizzato: Business Intelligence and Big Data
• ISBN: 3-319-96655-3
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910299358303321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Business Information Processing, . 1865-1348 ; ; 324