Researchers of CWI's Database Architecture group have been awarded with a best paper runner up award at 29th International Conference on Scientific and Statistical Database Management (SSDBM 2017) in Chicago. The researchers received the award for their paper 'Multi Hypothesis CSV-parsing' by authors Till Döhmen, Hannes Mühleisen and Peter Boncz. Data scientists spend much of their time mired in the more mundane labor of preparing unruly digital data for exploration. The multi-hypothesis parsing method minimises human effort by being considerably more likely to correctly interpret tabular data from files.
The Database Architecture group is a top database systems research group, active in the broad area of data management systems and infrastructure for supporting data science. The group has a strong international reputation in academia and industry for pioneering column store technology, fast compression methods, vectorized query execution, on-line query-driven indexing (cracking), adaptive caching and integration of statistical languages and analysis in database systems.
Conference Website: http://ssdbm2017.eecs.northwestern.edu/
Paper PDF: https://hannes.muehleisen.org/ssdbm2017-muehleisen-csvs.pdf
DA group: https://www.cwi.nl/research/groups/database-architectures
