Big Data Management and Analytics

9th European Summer School, eBISS 2019, Berlin, Germany, June 30 ¿ July 5, 2019, Revised Selected Papers
1. Auflage 2020
ISBN: 978-3-030-61626-7
Verlag: Springer International Publishing

Buch, Englisch, Band 390, 121 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 219 g

Reihe: Lecture Notes in Business Information Processing

This book constitutes 5 revised tutorial lectures of the 9th European Business Intelligence and Big Data Summer School, eBISS 2019, held in Berlin, Germany, during June 30 – July 5, 2019.
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 and practical skills necessary for developing challenging business intelligence applications.

Zielgruppe

Research

Autoren/Hrsg.

Zimányi, Esteban

Kutsche, Ralf-Detlef

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Actionable Conformance Checking: From Intuitions to Code.- Introduction to Text Analytics.- Automated Machine Learning: Techniques and Frameworks.- Travel-Time Computation Based on GPS Data.- Laplacian Matrix for Dimensionality Reduction and Clustering.