Topics
The workshop topics include, but are not limited to:
- Data Quality Models and Theory
- Data Quality Measures and Evaluations
- Data Cleaning Algorithms
- Record Linkage and Entity Resolution
- Privacy Preservation and Security Issues in the Process of Data Cleaning
- Data Quality Policies and Standards
- Data Provenance and Annotation
- Data Quality in Information Retrieval and Extraction
- Probabilistic, Fuzzy, and Uncertain Data Management
- Data Quality in Sensor Networks and CPS
- Data Quality in Information Integration
- Crowdsourcing for Data Quality
- Master Data Management
- Applications for Data Quality Management
- Error-Tolerate Computation