Big Data Management and Analytics
9th European Summer School, eBISS 2019, Berlin, Germany, June 30 - July 5, 2019, Revised Selected Papers
Published on 2. November 2020
Book
Paperback/Softback
XI, 121 pages
978-3-030-61626-7 (ISBN)
Description
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.
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.
More details
Series
Edition
1st ed. 2020
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
61 s/w Abbildungen, 50 farbige Abbildungen
XI, 121 p. 111 illus., 50 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 8 mm
Weight
219 gr
ISBN-13
978-3-030-61626-7 (9783030616267)
DOI
10.1007/978-3-030-61627-4
Schweitzer Classification
Other editions
Additional editions
Ralf-Detlef Kutsche | Esteban Zimányi
Big Data Management and Analytics
9th European Summer School, eBISS 2019, Berlin, Germany, June 30 - July 5, 2019, Revised Selected Papers
E-Book
11/2020
Springer
€53.49
Available for download
Content
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.