Data Science – Analytics and Applications

Data Science – Analytics and Applications: Proceedings of the 1st International Data Science Conference – iDSC2017 (German and English Edition)

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 providing a forum for the international exchange of Data Science technologies and applications.

Table of Contents

Part I Full Papers – Double Blind Reviewed
Chapter 1 Circadian Cycles And Work Under Pressure: A Stochastic Process Model For E-Learningpopulation Dynamics
Chapter 2 Investigating And Forecasting User Activities In Newsblogs: A Study Of Seasonality, Volatility Andattention Burst
Chapter 3 Knowledge-Based Short-Term Load-Forecasting Formaritime Container Terminals

Part II Data Analytics In Community Networks
Chapter 4 Beyond Spectral Clustering: A Comparative Studyof Community Detection For Document Clustering
Chapter 5 Third Party Effect: Community Based Spreading Incomplex Networks
Chapter 6 Cosine Approximate Nearest Neighbors

Part III Data Analytics Through Sentiment Analysis
Chapter 7 Information Extraction Engine For Sentiment-Topicmatching In Product Intelligence Applications
Chapter 8 Towards German Word Embeddings: A Use Casewith Predictive Sentiment Analysis

Part IV User/Customer-Centric Data Analytics
Chapter 9 Feature Extraction And Large Activity-Setrecognition Using Mobile Phone Sensors
Chapter 10 The Choice Of Metric For Clustering Of Electricalpower Distribution Consumers
Chapter 11 Evolution Of The Bitcoin Address Graph

Part IV Data Analytics In Industrial Application Scenarios
Chapter 12 A Reference Architecture For Quality Improvement Insteel Production
Chapter 13 Anomaly Detection And Structural Analysis Inindustrial Production Environments
Chapter 14 Semantically Annotated Manufacturing Data To Support Decision Making In Industry 4.0:A Use-Case Driven Approach

Part VI Short Papers And Student Contributions
Chapter 15 Improving Maintenance Processes With Data Science
Chapter 16 Ourfrrame
Chapter 17 Sentiment Analysis