50 citations · 78 across the 8 of their papers we have counts for
8 papers · 1 filter
On Explaining Confounding Bias
Brit Youngmann, Michael Cafarella, Yuval Moskovitch +1
When analyzing large datasets, analysts are often interested in the explanations for surprising or unexpected results produced by their queries. In this work, we focus on aggregate…
Technical Report on Data Integration and Preparation
El Kindi Rezig, Michael Cafarella, Vijay Gadepally
AI application developers typically begin with a dataset of interest and a vision of the end analytic or insight they wish to gain from the data at hand. Although these are two ver…
Duoquest: A Dual-Specification System for Expressive SQL Queries
Christopher Baik, Zhongjun Jin, Michael Cafarella +1
Querying a relational database is difficult because it requires users to know both the SQL language and be familiar with the schema. On the other hand, many users possess enough do…
Demonstration of a Multiresolution Schema Mapping System
Zhongjun Jin, Christopher Baik, Michael Cafarella +2
Enterprise databases usually contain large and complex schemas. Authoring complete schema mapping queries in this case requires deep knowledge about the source and target schemas a…
Physical Representation-based Predicate Optimization for a Visual Analytics Database
Michael R. Anderson, Michael Cafarella, German Ros +1
Querying the content of images, video, and other non-textual data sources requires expensive content extraction methods. Modern extraction techniques are based on deep convolutiona…
CLX: Towards verifiable PBE data transformation
Zhongjun Jin, Michael Cafarella, H. V. Jagadish +3
Effective data analytics on data collected from the real world usually begins with a notoriously expensive pre-processing step of data transformation and wrangling. Programming By…