43 citations · 288 across the 47 of their papers we have counts for
5 papers · 1 filter
Optimally Leveraging Density and Locality to Support LIMIT Queries
Albert Kim, Liqi Xu, Tarique Siddiqui +3
Existing database systems are not optimized for queries with a LIMIT clause---operating instead in an all-or-nothing manner. In this paper, we propose a fast LIMIT query evaluation…
Optimizing Open-Ended Crowdsourcing: The Next Frontier in Crowdsourced Data Management
Aditya Parameswaran, Akash Das Sarma, Vipul Venkataraman
Crowdsourcing is the primary means to generate training data at scale, and when combined with sophisticated machine learning algorithms, crowdsourcing is an enabler for a variety o…
Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System
Tarique Siddiqui, Albert Kim, John Lee +2
Data visualization is by far the most commonly used mechanism to explore data, especially by novice data analysts and data scientists. And yet, current visual analytics tools are r…
Squish: Near-Optimal Compression for Archival of Relational Datasets
Yihan Gao, Aditya Parameswaran
Relational datasets are being generated at an alarmingly rapid rate across organizations and industries. Compressing these datasets could significantly reduce storage and archival…
It's just a matter of perspective(s): Crowd-Powered Consensus Organization of Corpora
Ayush Jain, Joon Young Seo, Karan Goel +3
We study the problem of organizing a collection of objects - images, videos - into clusters, using crowdsourcing. This problem is notoriously hard for computers to do automatically…