Abstract is missing.
- Visual exploration of machine learning results using data cube analysisMinsuk Kahng, Dezhi Fang, Duen Horng (Polo) Chau. 1 [doi]
- Have a chat with clustine, conversational engine to query large tablesThibault Sellam, Martin L. Kersten. 2 [doi]
- Bridging the gap between user intention and model parameters for human-in-the-loop data analyticsJessica Zeitz Self, Radha Krishnan Vinayagam, J. T. Fry, Chris North. 3 [doi]
- Towards a general-purpose query language for visualization recommendationKanit Wongsuphasawat, Dominik Moritz, Anushka Anand, Jock D. Mackinlay, Bill Howe, Jeffrey Heer. 4 [doi]
- VisTrees: fast indexes for interactive data explorationMuhammad El-Hindi, Zheguang Zhao, Carsten Binnig, Tim Kraska. 5 [doi]
- Clustering provenance facilitating provenance exploration through data abstractionLinus Karsai, Alan Fekete, Judy Kay, Paolo Missier. 6 [doi]
- The exception that improves the ruleJuliana Freire, Boris Glavic, Oliver Kennedy, Heiko Mueller. 7 [doi]
- Interactive online learning for clinical entity recognitionLuis Tari, Varish Mulwad, Anna von Reden. 8 [doi]
- Towards reliable interactive data cleaning: a user survey and recommendationsSanjay Krishnan, Daniel Haas, Michael J. Franklin, Eugene Wu 0002. 9 [doi]
- PFunk-H: approximate query processing using perceptual modelsDaniel Alabi, Eugene Wu 0002. 10 [doi]
- The case for interactive data exploration accelerators (IDEAs)Andrew Crotty, Alex Galakatos, Emanuel Zgraggen, Carsten Binnig, Tim Kraska. 11 [doi]
- TrendQuery: a system for interactive exploration of trendsNiranjan Kamat, Eugene Wu, Arnab Nandi. 12 [doi]
- Data programming with DDLite: putting humans in a different part of the loopHenry R. Ehrenberg, Jaeho Shin 0001, Alexander J. Ratner, Jason A. Fries, Christopher Ré. 13 [doi]
- ModelDB: a system for machine learning model managementManasi Vartak, Harihar Subramanyam, Wei-En Lee, Srinidhi Viswanathan, Saadiyah Husnoo, Samuel Madden, Matei Zaharia. 14 [doi]
- A DeVIL-ish approach to inconsistency in interactive visualizationsYifan Wu, Joseph M. Hellerstein, Eugene Wu 0002. 15 [doi]
- Big data exploration requires collaboration between visualization and data infrastructuresDanyel Fisher. 16 [doi]