Business Intelligence and Big Data 7th European Summer School, eBISS 2017, Bruxelles, Belgium, July 2-7, 2017, Tutorial Lectures /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Zimányi, Esteban (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Lecture Notes in Business Information Processing, 324
• Θέματα: 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.
• Φυσική περιγραφή: XI, 155 p. 45 illus. online resource.
• ISBN: 9783319966557
• ISSN: 1865-1348 ;
• DOI: 10.1007/978-3-319-96655-7

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. .