Abstract
Scientists today are able to generate and collect data at an unprecedented scale [1]. Afterwards, scientists analyze and explore these datasets. Composing SQL queries, however, is a significant challenge for scientists because most are not database experts.
This work was partially supported by NSF CAREER award IIS-0845397 and IIS-0627585.
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References
The Fourth Paradigm: Data-Intensive Scientific Discovery (2009)
IMDB course assignment, http://www.cs.washington.edu/education/courses/cse444/08au/project/project1/project1.html
Khoussainova, N., Kwon, Y., Balazinska, M., Suciu, D.: SnipSuggest: Context-aware Autocompletion for SQL. In: Proc. VLDB Endow., vol. 4, pp. 22–33 (2010)
Khoussainova, N., Kwon, Y., Liao, W.-T., Balazinska, M., Gatterbauer, W., Suciu, D.: SQB: Session-based Query Browsing for More Effective Query Reuse. Technical Report 2011-04-02, Department of Computer Science and Engineering, University of Washington (2011)
Sloan Digital Sky Survey, http://www.sdss.org/
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Khoussainova, N., Kwon, Y., Liao, WT., Balazinska, M., Gatterbauer, W., Suciu, D. (2011). Session-Based Browsing for More Effective Query Reuse. In: Bayard Cushing, J., French, J., Bowers, S. (eds) Scientific and Statistical Database Management. SSDBM 2011. Lecture Notes in Computer Science, vol 6809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22351-8_47
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DOI: https://doi.org/10.1007/978-3-642-22351-8_47
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