Service Analytics Minitrack

Research topics addressed in this minitrack include the applicability of basic and advanced analytics to different service systems, the state-of-the-art of service analytics methodologies and tool-support, and the investigation of benefits resulting from the application of service analytics.

This minitrack will serve as a forum for researchers and practitioners to share progress in the study of these and related themes. Submissions on, but not limited to, the following topics are encouraged:

  • Web Usage Mining and Web Personalization
  • Data Mining
  • Machine Learning applied to Services
  • Recommender Systems for Services
  • Social Network Analytics applied to Services
  • Privacy Issues resulting from Service Analytics
  • Fraud Analytics for Service Systems
  • Analysis and Prediction of User Behavior in Mobile Phone Systems
  • Analysis and Prediction of Driver Behavior in Traffic Situations
  • Analysis and Exploitation of Floating Car Data
  • Electricity Consumption Analysis using Smart Meter Data
  • Analytics for Healthcare Services
  • Analysis and Prediction of IT Service Demand Patterns
  • Analysis of Service Problem Reports
  • Industrial Service Analytics and Optimization
  • Sports Analytics

Minitrack Co-Chairs:

Hansjoerg Fromm (Primary Contact)
Karlsruhe Institute of Technology (KIT)
Email: hansjoerg.fromm@kit.edu

Gerhard Satzger
IBM Germany
Email: satzger@de.ibm.com

Thomas Setzer
Karlsruhe Institute of Technology (KIT)
Email: thomas.setzer@kit.edu

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