A5081244181- Data Quality and Management
- Semantic Web and Ontologies
- Advanced Database Systems and Queries
- Research Data Management Practices
- Data Mining Algorithms and Applications
- AI in cancer detection
- Web Data Mining and Analysis
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Machine Learning in Healthcare
- Natural Language Processing Techniques
- Biomedical Text Mining and Ontologies
- Big Data and Business Intelligence
- Privacy-Preserving Technologies in Data
- Topic Modeling
- Distributed and Parallel Computing Systems
- Big Data Technologies and Applications
Renaissance Computing Institute
2009-2012
University of North Carolina at Chapel Hill
2012
MAESTRO is a prototype runtime designed to provide simple, very light threads and synchronization between those on modern commodity (times86) hardware. The threading library be target for high-level language compiler or source-to-source translator, not user-level programming. It provides parallel programming environments with straight forward hardware model which can mapped available dynamically. separates the size of system being used from amount parallelism in an application. By separating...
The problems that scientists face in creating well designed databases intersect with the concerns of data curation. Entity-relationship modeling and its variants have been basis most relational for decades. However, these abstractions model itself are intricate proved not to be very accessible among limited resources management. This paper explores one aspect models, meaning foreign key relationships. We observe a produces table relationship generally references either an entity or repeating...