A graph-based framework for analyzing SQL query logs

Wahl AM, Endler G, Schwab P, Rith J, Herbst S, Lenz R (2018)

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2018

Publisher: Association for Computing Machinery, Inc

Article Number: a11

ISBN: 9781450356954

DOI: 10.1145/3210259.3210270

Authors with CRIS profile

Andreas Maximilian Wahl Chair for Computer Science 6 (Data Management) Gregor Endler Chair for Computer Science 6 (Data Management) Peter Schwab Chair for Computer Science 6 (Data Management) Julian Rith Chair for Computer Science 6 (Data Management) Sebastian Herbst Chair for Computer Science 6 (Data Management) Richard Lenz Professur für evolutionäres Datenmanagement

Related research project(s)

Open and Collaborative Query-Driven Analytics (OCEAN) Nov. 1, 2013 - Nov. 1, 2016

How to cite

APA:

Wahl, A.M., Endler, G., Schwab, P., Rith, J., Herbst, S., & Lenz, R. (2018). A graph-based framework for analyzing SQL query logs. In Proceedings of the 1st ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems and Network Data Analytics, GRADES-NDA 2018. Association for Computing Machinery, Inc.

MLA:

Wahl, Andreas Maximilian, et al. "A graph-based framework for analyzing SQL query logs." Proceedings of the 1st ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems and Network Data Analytics, GRADES-NDA 2018 Association for Computing Machinery, Inc, 2018.

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