43 citations · 288 across the 47 of their papers we have counts for
6 papers · 1 filter
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…
Towards a unified query language for provenance and versioning
Amit Chavan, Silu Huang, Amol Deshpande +3
Organizations and teams collect and acquire data from various sources, such as social interactions, financial transactions, sensor data, and genome sequencers. Different teams in a…
On the Interpretability of Conditional Probability Estimates in the Agnostic Setting
Yihan Gao, Aditya Parameswaran, Jian Peng
We study the interpretability of conditional probability estimates for binary classification under the agnostic setting or scenario. Under the agnostic setting, conditional probabi…
Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff
Souvik Bhattacherjee, Amit Chavan, Silu Huang +2
The relative ease of collaborative data science and analysis has led to a proliferation of many thousands or millions of of the same datasets in many scientific and comm…
Globally Optimal Crowdsourcing Quality Management
Akash Das Sarma, Aditya Parameswaran, Jennifer Widom
We study crowdsourcing quality management, that is, given worker responses to a set of tasks, our goal is to jointly estimate the true answers for the tasks, as well as the quality…
CrowdGather: Entity Extraction over Structured Domains
Theodoros Rekatsinas, Amol Deshpande, Aditya Parameswaran
Crowdsourced entity extraction is often used to acquire data for many applications, including recommendation systems, construction of aggregated listings and directories, and knowl…