Service Analytics Minitrack
Permanent URI for this collection
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