20 citations · 43 across the 4 of their papers we have counts for
4 papers
Temporally-Biased Sampling Schemes for Online Model Management
Brian Hentschel, Peter J. Haas, Yuanyuan Tian
To maintain the accuracy of supervised learning models in the presence of evolving data streams, we provide temporally-biased sampling schemes that weight recent data most heavily,…
Temporally-Biased Sampling for Online Model Management
Brian Hentschel, Peter J. Haas, Yuanyuan Tian
To maintain the accuracy of supervised learning models in the presence of evolving data streams, we provide temporally-biased sampling schemes that weight recent data most heavily,…
Foresight: Rapid Data Exploration Through Guideposts
Çağatay Demiralp, Peter J. Haas, Srinivasan Parthasarathy +1
Current tools for exploratory data analysis (EDA) require users to manually select data attributes, statistical computations and visual encodings. This can be daunting for large-sc…
Foresight: Recommending Visual Insights
Çağatay Demiralp, Peter J. Haas, Srinivasan Parthasarathy +1
Current tools for exploratory data analysis (EDA) require users to manually select data attributes, statistical computations and visual encodings. This can be daunting for large-sc…