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Big Data Management and Analytics : 9th European Summer School, eBISS 2019, Berlin, Germany, June 30 - July 5, 2019, Revised Selected Papers / edited by Ralf-Detlef Kutsche, Esteban Zimányi.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in business information processing 1865-1356 ; 390
- Lecture Notes in Business Information Processing, 1865-1356 ; 390
- Language:
- English
- Subjects (All):
- Information storage and retrieval systems.
- Business information services.
- Artificial intelligence.
- Application software.
- Data mining.
- Information Storage and Retrieval.
- IT in Business.
- Artificial Intelligence.
- Computer and Information Systems Applications.
- Data Mining and Knowledge Discovery.
- Local Subjects:
- Information Storage and Retrieval.
- IT in Business.
- Artificial Intelligence.
- Computer and Information Systems Applications.
- Data Mining and Knowledge Discovery.
- Physical Description:
- 1 online resource (XI, 121 pages) : 111 illustrations, 50 illustrations in color.
- Edition:
- 1st ed. 2020.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2020.
- System Details:
- text file PDF
- Summary:
- 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, 2020. 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.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-61627-4
- 9783030616274
- Access Restriction:
- Restricted for use by site license.
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