786 citations · 3k across the 61 of their papers we have counts for
21 papers · 1 filter
A Formal Framework For Probabilistic Unclean Databases
Christopher De Sa, Ihab F. Ilyas, Benny Kimelfeld +2
Most theoretical frameworks that focus on data errors and inconsistencies follow logic-based reasoning. Yet, practical data cleaning tools need to incorporate statistical reasoning…
LevelHeaded: Making Worst-Case Optimal Joins Work in the Common Case
Christopher R. Aberger, Andrew Lamb, Kunle Olukotun +1
Pipelines combining SQL-style business intelligence (BI) queries and linear algebra (LA) are becoming increasingly common in industry. As a result, there is a growing need to unify…
Fonduer: Knowledge Base Construction from Richly Formatted Data
Sen Wu, Luke Hsiao, Xiao Cheng +4
We focus on knowledge base construction (KBC) from richly formatted data. In contrast to KBC from text or tabular data, KBC from richly formatted data aims to extract relations con…
HoloClean: Holistic Data Repairs with Probabilistic Inference
Theodoros Rekatsinas, Xu Chu, Ihab F. Ilyas +1
We introduce HoloClean, a framework for holistic data repairing driven by probabilistic inference. HoloClean unifies existing qualitative data repairing approaches, which rely on i…
Old Techniques for New Join Algorithms: A Case Study in RDF Processing
Christopher R. Aberger, Susan Tu, Kunle Olukotun +1
Recently there has been significant interest around designing specialized RDF engines, as traditional query processing mechanisms incur orders of magnitude performance gaps on many…
Aggregations over Generalized Hypertree Decompositions
Manas Joglekar, Rohan Puttagunta, Christopher Ré
We study a class of aggregate-join queries with multiple aggregation operators evaluated over annotated relations. We show that straightforward extensions of standard multiway join…