Editors:
- Aktuelle Data Science Themen
- Spezifische Data Science Fragestellungen
- In einem Werk konzentriert
- Includes supplementary material: sn.pub/extras
Table of contents (17 papers)
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Front Matter
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Full Papers – Double Blind Reviewed and Reasoning and Predictive Analytics
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Front Matter
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Data Analytics in Community Networks
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Front Matter
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Data Analytics through Sentiment Analysis
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Front Matter
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User/Customer-centric Data Analytics
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Front Matter
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Data Analytics in Industrial Application Scenarios
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Front Matter
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About this book
The iDSC Proceedings reports on state-of-the-art results in Data Science research, development and business. Topics and content of the IDSC2017 proceedings are
• Reasoning and Predictive Analytics
• Data Analytics in Community Networks
• Data Analytics through Sentiment Analysis
• User/Customer-centric Data Analytics
• Data Analytics in Industrial Application Scenarios
Advances in technology and changes in the business and social environment have led to an increasing flood of data, fueling both the need and the desire to generate value from these assets. The emerging field of Data Science is poised to deliver theoretical and practical solutions to the pressing issues of data-driven applications.
The 1st International Data Science Conference (iDSC2017 / http://www.idsc.at) organized by Salzburg University of Applied Sciences in cooperation with Information Professionals GmbH, established a new key Data Science event,by pro
viding a forum for the international exchange of Data Science technologies and applications.Editors and Affiliations
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Fachhochschule Salzburg, Puch/Salzburg, Austria
Peter Haber
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its Informationstechnik & System-Management, Fachhochschule Salzburg, Puch/Salzburg, Austria
Thomas Lampoltshammer
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Informationstechnik & System-Management, Fachhochschule Salzburg, Puch/Salzburg, Austria
Manfred Mayr
About the editors
FH-Ass. Prof. DI (FH) DI Peter Haber is professor for analog and digital signal processing and responsible coordinator of system theory and electrical engineering at the University of Applied Sciences Salzburg. He has been working as a researcher and project manager in national and international research projects; managing and coordinating both national and international projects, such as the two Leonardo da Vinci EU projects POOL and P2B. He is a member of the international advisory boards for the ICERI, INTEND and EDULEARN conferences since 2009.
DI (FH) Dr. Thomas Lampoltshammer, M.A. MSc is currently working as a Senior Scientist at the Department for E-Governance and Administration at Danube University Krems/Austria in the fields of Security Studies and associated societal challenges. His research experience covers national and EU-funded projects in ICT-related topics, such as Geoinformatics, Semantics, Social Media, Legal Informatics, and Open Data. He has a strong backg
round in the design and implementation of expert and decision-making systems, data analytics, as well as semantic-based reasoning.FH-Prof. Ing. MMag. Dr. Manfred Mayr is professor for IT management and department head at Salzburg University of Applied Sciences. He is a lecturer at international conferences and author of various publications in the field of IT-management and business informatics. He was the responsible coordinator and project manager of the two international “EU-Leonardo Da Vinci research projects” "POOL Project Organization OnLine" and Pool2Business (P2B) and various other national projects.
The editors are the conference chairs of the International Data Science Conference.
Bibliographic Information
Book Title: Data Science – Analytics and Applications
Book Subtitle: Proceedings of the 1st International Data Science Conference – iDSC2017
Editors: Peter Haber, Thomas Lampoltshammer, Manfred Mayr
DOI: https://doi.org/10.1007/978-3-658-19287-7
Publisher: Springer Vieweg Wiesbaden
eBook Packages: Computer Science and Engineering (German Language)
Copyright Information: Springer Fachmedien Wiesbaden GmbH 2017
Hardcover ISBN: 978-3-658-19286-0Published: 16 September 2017
eBook ISBN: 978-3-658-19287-7Published: 13 September 2017
Edition Number: 1
Number of Pages: XXIII, 105
Number of Illustrations: 65 b/w illustrations
Topics: Computer Appl. in Administrative Data Processing, Big Data/Analytics, Literacy