A5029865646- Data Mining Algorithms and Applications
- Data Quality and Management
- Medical Research and Treatments
- COVID-19 and healthcare impacts
- Semantic Web and Ontologies
- Privacy-Preserving Technologies in Data
- COVID-19 and Mental Health
- Disaster Response and Management
- Nosocomial Infections in ICU
Center for Disease Control
2004-2014
Chinese Center For Disease Control and Prevention
2004
We introduce Rock, a system for cleaning relational data. Rock implements framework that unifies machine learning (ML) and logic deduction by embedding ML classifiers in rules as predicates. In unified process, it identifies tuples refer to the same real-world entity, catches semantic inconsistencies among entities, deduces timeliness of attribute values imputes missing possibly extracting data from knowledge graphs. That is, conducts entity resolution, conflict incomplete information...
We demonstrate Rock, a system for cleaning relational data. Rock highlights the following unique features: (1) it extends logic rules by embedding machine learning models as predicates, to benefit from both ML and deduction; (2) supports entity resolution, conflict timeliness deduction missing data imputation in unified process; (3) provides parallelly scalable algorithms rule discovery, error detection correction, batch incremental modes. will its (a) easy-to-use interface, (b) scalability...