Databases and Data Science
Algorithms for data mining have a close relationship to methods of pattern recognition and machine learning. Focuses on developing fundamental techniques, prototype systems and applications in databases and data science.
Specific areas include: data, text, graph, stream and social media mining,information integration, data quality, query languages, probabilistic and inconsistent databases, streaming and parallel algorithms, algorithms for joins, crowdsourcing, truth discovery and document summarization. Relevant application areas are: data science, healthcare, bioinformatics, transportation, cyber security and education.
