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Data Science – Analytics and Applications

Proceedings of the 1st International Data Science Conference – iDSC2017

  • Conference proceedings
  • © 2017

Overview

Editors:
  1. Peter Haber

    1. Fachhochschule Salzburg, Puch/Salzburg, Austria

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  2. Thomas Lampoltshammer

    1. its Informationstechnik & System-Management, Fachhochschule Salzburg, Puch/Salzburg, Austria

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  3. Manfred Mayr

    1. Informationstechnik & System-Management, Fachhochschule Salzburg, Puch/Salzburg, Austria

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  • Aktuelle Data Science Themen
  • Spezifische Data Science Fragestellungen
  • In einem Werk konzentriert
  • Includes supplementary material: sn.pub/extras

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Table of contents (17 papers)

  1. Front Matter

    Pages I-XXIII
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  2. Full Papers – Double Blind Reviewed and Reasoning and Predictive Analytics

    1. Front Matter

      Pages 9-10
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    2. Circadian Cycles and Work Under Pressure: A Stochastic Process Model for E-learning Population Dynamics

      • Christian Backhage, César Ojeda, Rafet Sifa
      Pages 13-18

    3. Investigating and Forecasting User Activities in Newsblogs: A Study of Seasonality, Volatility and Attention Burst

      • Christian Bauckhage, César Ojeda, Rafet Sifa
      Pages 19-24

    4. Knowledge-Based Short-Term Load-Forecasting for Maritime Container Terminals

      • Norman Ihle, Axel Hahn
      Pages 25-30

  3. Data Analytics in Community Networks

    1. Front Matter

      Pages 31-31
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    2. Beyond Spectral Clustering: A Comparative Study of Community Detection for Document Clustering

      • Christian Backhage, Kostadin Cvejoski, César Ojeda, Rafet Sifa
      Pages 33-38

    3. Third Party Effect: Community Based Spreading in Complex Networks

      • Christian Bauckhage, César Ojeda, Rafet Sifa, Shubham Agarwal
      Pages 39-43

    4. Cosine Approximate Nearest Neighbors

      • David C. Anastasiu
      Pages 45-50

  4. Data Analytics through Sentiment Analysis

    1. Front Matter

      Pages 51-51
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    2. Information Extraction Engine for Sentiment-Topic Matching in Product Intelligence Applications

      • Cornelia Ferner, Werner Pomwenger, Stefan Wegenkittl, Martin Schnöll, Veronika Haaf, Arnold Keller
      Pages 53-57

    3. Towards German Word Embeddings: A Use Case with Predictive Sentiment Analysis

      • Eduardo Brito, Rafet Sifa, Kostadin Cvejoski, César Ojeda, Christian Bauckhage
      Pages 59-62

  5. User/Customer-centric Data Analytics

    1. Front Matter

      Pages 63-63
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    2. Feature Extraction and Large Activity-Set Recognition Using Mobile Phone Sensors

      • Wassim El Hajj, Ghassen Ben Brahim, Cynthia El-Hayek, Hazem Hajj
      Pages 65-70

    3. The Choice of Metric for Clustering of Electrical Power Distribution Consumers

      • Nikola Obrenović, Goran Vidaković, Ivan Luković
      Pages 71-76

    4. Evolution of the Bitcoin Address Graph

      • Erwin Filtz, Axel Polleres, Roman Karl, Bernhard Haslhofer
      Pages 77-82

  6. Data Analytics in Industrial Application Scenarios

    1. Front Matter

      Pages 83-83
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    2. A Reference Architecture for Quality Improvement in Steel Production

      • David Arnu, Edwin Yaqub, Claudio Mocci, Valentina Colla, Marcus Neuer, Gabriel Fricout et al.
      Pages 85-90

    3. Anomaly Detection and Structural Analysis in Industrial Production Environments

      • Martin Atzmueller, David Arnu, Andreas Schmidt
      Pages 91-95

    4. Semantically Annotated Manufacturing Data to support Decision Making in Industry 4.0: A Use-Case Driven Approach

      • Stefan Schabus, Johannes Scholz
      Pages 97-102
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Keywords

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

  • Fachhochschule Salzburg, Puch/Salzburg, Austria

    Peter Haber

  • its Informationstechnik & System-Management, Fachhochschule Salzburg, Puch/Salzburg, Austria

    Thomas Lampoltshammer

  • 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

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