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Monte Carlo Tree Search for Generating Interactive Data Analysis Interfaces

Published: 31 May 2020 Publication History

Abstract

Interactive tools like user interfaces help democratize data access for end-users by hiding underlying programming details and exposing the necessary widget interface to users. Since customized interfaces are costly to build, automated interface generation is desirable. SQL is the dominant way to analyze data and there already exists logs to analyze data. Previous work proposed a syntactic approach to analyze structural changes in SQL query logs and automatically generates a set of widgets to express the changes. However, they do not consider layout usability and the sequential order of queries in the log. We propose to adopt Monte Carlo Tree Search(MCTS) to search for the optimal interface that accounts for hierarchical layout as well as the usability in terms of how easy to express the query log.

References

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Cameron Browne, Edward Jack Powley, Daniel Whitehouse, Simon M. Lucas, Peter I. Cowling, Philipp Rohlfshagen, Stephen Tavener, Diego Perez Liebana, Spyridon Samothrakis, and Simon Colton. 2012. A Survey of Monte Carlo Tree Search Methods. IEEE Transactions onComputational Intelligence and AI in Games4 (2012), 1--43.
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Tim Comber and John R. Maltby. 1997. Layout Complexity: Does It Measure Usability?. In INTERACT.
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Krzysztof Z. Gajos and Daniel S. Weld. 2004. SUPPLE: automaticallygenerating user interfaces. In IUI.
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Haoci Zhang, Viraj Raj, Thibault Sellam, and Eugene Wu. 2018. Precision Interfaces for Different Modalities. In SIGMOD Conference.
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Qianrui Zhang, Haoci Zhang, Thibault Sellam, and Eugene Wu. 2019. Mining Precision Interfaces From Query Logs. In Proceedings of the 2019 International Conference on Management of Data (SIGMOD '19). ACM, New York, NY, USA, 988--1005. https://doi.org/10.1145/3299869.3319872

Cited By

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  • (2024)DynaVis: Dynamically Synthesized UI Widgets for Visualization EditingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642639(1-17)Online publication date: 11-May-2024
  • (2022)PI2: End-to-end Interactive Visualization Interface Generation from QueriesProceedings of the 2022 International Conference on Management of Data10.1145/3514221.3526166(1711-1725)Online publication date: 10-Jun-2022
  • (2020)From Robotic Process Automation to Intelligent Process AutomationBusiness Process Management: Blockchain and Robotic Process Automation Forum10.1007/978-3-030-58779-6_15(215-228)Online publication date: 3-Sep-2020

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cover image ACM Conferences
SIGMOD '20: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data
June 2020
2925 pages
ISBN:9781450367356
DOI:10.1145/3318464
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 May 2020

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Author Tags

  1. Monte Carlo tree search
  2. human data interaction
  3. interface generation

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  • National Science Foundation

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SIGMOD/PODS '20
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Overall Acceptance Rate 785 of 4,003 submissions, 20%

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Cited By

View all
  • (2024)DynaVis: Dynamically Synthesized UI Widgets for Visualization EditingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642639(1-17)Online publication date: 11-May-2024
  • (2022)PI2: End-to-end Interactive Visualization Interface Generation from QueriesProceedings of the 2022 International Conference on Management of Data10.1145/3514221.3526166(1711-1725)Online publication date: 10-Jun-2022
  • (2020)From Robotic Process Automation to Intelligent Process AutomationBusiness Process Management: Blockchain and Robotic Process Automation Forum10.1007/978-3-030-58779-6_15(215-228)Online publication date: 3-Sep-2020

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