27 citations · 122 across the 14 of their papers we have counts for
5 papers · 1 filter
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…
GYM: A Multiround Join Algorithm In MapReduce
Foto Afrati, Manas Joglekar, Christopher Ré +2
Multiround algorithms are now commonly used in distributed data processing systems, yet the extent to which algorithms can benefit from running more rounds is not well understood.…