Computer scientists introduce innovative new work at annual conferences. The Databases and Data Science research community expands the state of the art at these, the field's most prestigious and selective conferences:
The Databases and Data Science Group enjoys getting out for annual nature hikes.
We find interesting destinations in Secret Places: Scenic Treasures of Western New York and Southern Ontario, written by the late Bruce Kershner, husband of CSE Assistant Chair Emerita Helene Kershner.
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.