Duke Computer Science at SIGMOD 2019

Duke Computer Science's database group presented five (5) research papers and a demo at the SIGMOD 2019 conference in Amsterdam June 30-July 5. Also, a Duke paper on Ektelo was selected for the 2018 ACM SIGMOD Research Highlight Award.

SIGMOD is a prestigious international forum on databases for researchers, practitioners, developers, and users to explore and exchange cutting-edge ideas, research, techniques, and tools.

Duke Research Papers at SIGMOD 2019

• “APEx: Accuracy-Aware Differentially Private Data Exploration” - Ashwin Machanavajjhala and recent Duke PhD, Xi He (now Assistant Professor of Computer Science @ the University Of Waterloo), with collaborators from Waterloo CS (Ihab Ilyas, Chang Ge).
• “Explaining wrong queries using small examples” - Sudeepa Roy, Duke PhD student Zhengjie Miao, with Jun Yang.
• “Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances” - Sudeepa Roy, Duke PhD student Zhengjie Miao, with Qitian Zeng and Boris Glavic from IIT, Illinois Institute of Technology.
• “MIFO: A Query-Semantic Aware Resource Allocation Policy” - Prajakta Kalmegh, Recent Duke PhD (now Principal Engineer @ Unravel Data Systems) with Shivnath Babu of Unravel Data Systems.
• “iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks” - Sudeepa Roy, with Prajakta Kalmegh, Recent Duke PhD and Shivnath Babu, Unravel Data Systems.

Duke Demo at SIGMOD 2019

• “RATest: Explaining Wrong Relational Queries Using Small Examples” - Sudeepa Roy, Duke PhD student Zhengjie Miao, with Jun Yang.

Duke Research Highlight Award - SIGMOD 2018

• “Ektelo: A Framework for Defining Differentially-Private Computations” paper from SIGMOD 2018 entitled was selected for the 2018 ACM SIGMOD Research Highlight Award - Dan Zhang, Ryan McKenna, Ios Kotsogiannis, Michael Hay, Ashwin Machanavajjhala, and Gerome Miklau.