Many data extraction tasks of practical relevance require not only synta...
We propose TROD, a novel transaction-oriented framework for debugging mo...
Data discovery is a major challenge in enterprise data analysis: users o...
Vega is a popular domain-specific language (DSL) for visualization
speci...
Business users make data-informed decisions by understanding the
relatio...
We recently proposed a new cluster operating system stack, DBOS, centere...
Cloud data warehouses (CDWs) bring large-scale data and compute power cl...
The fundamental goal of business data analysis is to improve business
de...
Understanding the semantics of tables at scale is crucial for tasks like...
Despite rapid developments in the field of machine learning research,
co...
The practical success of deep learning has sparked interest in improving...
A new generation of cloud data warehouses has changed the landscape of
i...
With the increase in scale and availability of digital text generated on...
Data programming is a programmatic weak supervision approach to efficien...
Reviews are integral to e-commerce services and products. They contain a...
Detecting the semantic types of data columns in relational tables is
imp...
Correctly detecting the semantic type of data columns is crucial for dat...
Scalable interactive visual data exploration is crucial in many domains ...
Researchers currently rely on ad hoc datasets to train automated
visuali...
Dimensionality reduction is a common method for analyzing and visualizin...
Precision oncology tests that profile tumors to identify clinically
acti...
In this paper, we describe a research agenda for deriving design princip...
Rapidly creating effective visualizations using expressive grammars is
c...
Data clustering is a common unsupervised learning method frequently used...
While clustering is one of the most popular methods for data mining, ana...
Detecting motor activities from sensor datasets is becoming increasingly...
Current tools for exploratory data analysis (EDA) require users to manua...
Visualizations of tabular data are widely used; understanding their
effe...
Visualizations of tabular data are widely used; understanding their
effe...
Current tools for exploratory data analysis (EDA) require users to manua...