Skip to main content

QAGView: Interactively Summarizing High-Valued Aggregate Query Answers.

Publication ,  Conference
Wen, Y; Zhu, X; Roy, S; Yang, J
Published in: Proceedings. ACM-SIGMOD International Conference on Management of Data
June 2018

Methods for summarizing and diversifying query results have drawn significant attention recently, because they help present query results with lots of tuples to users in more informative ways. We present QAGView (Quick AGgregate View), which provides a holistic overview of high-valued aggregate query answers to the user in the form of summaries (showing high-level properties that emerge from subsets of answers) with coverage guarantee (for a user-specified number of top-valued answers) that is both diverse (avoiding overlapping or similar summaries) and relevant (focusing on high-valued aggregate answers). QAGView allows users to view the high-level summaries as clusters, and to expand individual clusters for their constituent result tuples. Users can fine-tune the behavior of QAGView by specifying a number of parameters according their preference. To help users choose appropriate parameters interactively, QAGView employ a suite of optimizations that enable quick preview of how the quality of the summaries changes over wide ranges of parameter settings, as well as real-time visualization of how the summaries evolve in response to parameter updates.

Duke Scholars

Published In

Proceedings. ACM-SIGMOD International Conference on Management of Data

DOI

ISSN

0730-8078

Publication Date

June 2018

Volume

2018

Start / End Page

1709 / 1712
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Wen, Y., Zhu, X., Roy, S., & Yang, J. (2018). QAGView: Interactively Summarizing High-Valued Aggregate Query Answers. In Proceedings. ACM-SIGMOD International Conference on Management of Data (Vol. 2018, pp. 1709–1712). https://doi.org/10.1145/3183713.3193566
Wen, Yuhao, Xiaodan Zhu, Sudeepa Roy, and Jun Yang. “QAGView: Interactively Summarizing High-Valued Aggregate Query Answers.” In Proceedings. ACM-SIGMOD International Conference on Management of Data, 2018:1709–12, 2018. https://doi.org/10.1145/3183713.3193566.
Wen Y, Zhu X, Roy S, Yang J. QAGView: Interactively Summarizing High-Valued Aggregate Query Answers. In: Proceedings ACM-SIGMOD International Conference on Management of Data. 2018. p. 1709–12.
Wen, Yuhao, et al. “QAGView: Interactively Summarizing High-Valued Aggregate Query Answers.Proceedings. ACM-SIGMOD International Conference on Management of Data, vol. 2018, 2018, pp. 1709–12. Epmc, doi:10.1145/3183713.3193566.
Wen Y, Zhu X, Roy S, Yang J. QAGView: Interactively Summarizing High-Valued Aggregate Query Answers. Proceedings ACM-SIGMOD International Conference on Management of Data. 2018. p. 1709–1712.

Published In

Proceedings. ACM-SIGMOD International Conference on Management of Data

DOI

ISSN

0730-8078

Publication Date

June 2018

Volume

2018

Start / End Page

1709 / 1712