Business Intelligence and Big Data

✍ Scribed by Esteban Zimányi

• Publisher: Springer International Publishing
• Year: 2018
• Tongue: English
• Leaves: 164
• Series: Lecture Notes in Business Information Processing 324
• Edition: 1st ed.
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages I-XI
An Introduction to Data Profiling (Ziawasch Abedjan)....Pages 1-20
Programmatic ETL (Christian Thomsen, Ove Andersen, Søren Kejser Jensen, Torben Bach Pedersen)....Pages 21-50
Temporal Data Management – An Overview (Michael H. Böhlen, Anton Dignös, Johann Gamper, Christian S. Jensen)....Pages 51-83
Historical Graphs: Models, Storage, Processing (Evaggelia Pitoura)....Pages 84-111
Three Big Data Tools for a Data Scientist’s Toolbox (Toon Calders)....Pages 112-133
Let’s Open the Black Box of Deep Learning! (Jordi Vitrià)....Pages 134-153
Back Matter ....Pages 155-155

✦ Subjects

Computer Science; Information Storage and Retrieval; Big Data/Analytics; Artificial Intelligence (incl. Robotics); Computer Appl. in Administrative Data Processing; Data Mining and Knowledge Discovery