46 citations · 86 across the 10 of their papers we have counts for
10 papers
SLiMFast: Guaranteed Results for Data Fusion and Source Reliability
Manas Joglekar, Theodoros Rekatsinas, Hector Garcia-Molina +2
We focus on data fusion, i.e., the problem of unifying conflicting data from data sources into a single representation by estimating the source accuracies. We propose SLiMFast, a f…
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…
Human-Assisted Graph Search: It's Okay to Ask Questions
Aditya Parameswaran, Anish Das Sarma, Hector Garcia-Molina +2
We consider the problem of human-assisted graph search: given a directed acyclic graph with some (unknown) target node(s), we consider the problem of finding the target node(s) by…