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Vizdom: Interactive Analytics through Pen and Touch

Andrew Crotty; Alex Galakatos; Emanuel Zgraggen; Carsten Binnig; Tim Kraska
In: Proceedings of the VLDB Endowment (PVLDB), Vol. 8, No. 12, Pages 2024-2027, Association for Computing Machinery (ACM), 2015.


Machine learning (ML) and advanced statistics are important tools for drawing insights from large datasets. However, these techniques often require human intervention to steer computation towards meaningful results. In this demo, we present Vizdom, a new system for interactive analytics through pen and touch. Vizdom's frontend allows users to visually compose complex workflows of ML and statistics operators on an interactive whiteboard, and the back-end leverages recent advances in workflow compilation techniques to run these computations at interactive speeds. Additionally, we are exploring approximation techniques for quickly visualizing partial results that incrementally refine over time. This demo will show V's capabilities by allowing users to interactively build complex analytics workflows using real-world datasets.

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