1 option
Business Intelligence and Big Data : 7th European Summer School, eBISS 2017, Bruxelles, Belgium, July 2-7, 2017, Tutorial Lectures / edited by Esteban Zimányi.
- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- Lecture notes in business information processing 1865-1348 ; 324.
- Lecture Notes in Business Information Processing, 1865-1348 ; 324
- Language:
- English
- Subjects (All):
- 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.
- Local Subjects:
- Information Storage and Retrieval.
- Big Data/Analytics.
- Artificial Intelligence.
- Computer Appl. in Administrative Data Processing.
- Data Mining and Knowledge Discovery.
- Physical Description:
- 1 online resource (XI, 155 pages) : 45 illustrations.
- Edition:
- First edition 2018.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2018.
- System Details:
- text file PDF
- Summary:
- 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. .
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-96655-7
- 9783319966557
- 9783319966540
- 9783319966564
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.