43 citations · 288 across the 47 of their papers we have counts for
6 papers · 2 filters
Rapid Sampling for Visualizations with Ordering Guarantees
Albert Kim, Eric Blais, Aditya Parameswaran +3
Visualizations are frequently used as a means to understand trends and gather insights from datasets, but often take a long time to generate. In this paper, we focus on the problem…
Interactive Data Exploration with Smart Drill-Down
Manas Joglekar, Hector Garcia-Molina, Aditya Parameswaran
We present {\em smart drill-down}, an operator for interactively exploring a relational table to discover and summarize "interesting" groups of tuples. Each group of tuples is desc…
Evaluating the Crowd with Confidence
Manas Joglekar, Hector Garcia-Molina, Aditya Parameswaran
Worker quality control is a crucial aspect of crowdsourcing systems; typically occupying a large fraction of the time and money invested on crowdsourcing. In this work, we devise t…
Comprehensive and Reliable Crowd Assessment Algorithms
Manas Joglekar, Hector Garcia-Molina, Aditya Parameswaran
Evaluating workers is a critical aspect of any crowdsourcing system. In this paper, we devise techniques for evaluating workers by finding confidence intervals on their error rates…
Exploiting Correlations for Expensive Predicate Evaluation
Manas Joglekar, Hector Garcia-Molina, Aditya Parameswaran +1
User Defined Function(UDFs) are used increasingly to augment query languages with extra, application dependent functionality. Selection queries involving UDF predicates tend to be…
DataHub: Collaborative Data Science & Dataset Version Management at Scale
Anant Bhardwaj, Souvik Bhattacherjee, Amit Chavan +4
Relational databases have limited support for data collaboration, where teams collaboratively curate and analyze large datasets. Inspired by software version control systems like g…