Add to ORKGData analysts often build visualizations as the first step in their an-alytical workflow. However, when working with high-dimensional datasets, identifying visualizations that show relevant or desired trends in data can be laborious. We propose SEEDB, a visual-ization recommendation engine to facilitate fast visual analysis: given a subset of data to be studied, SEEDB intelligently explores the space of visualizations, evaluates promising visualizations for trends, and recommends those it deems most “useful ” or “interest-ing”. The two major obstacles in recommending interesting visual-izations are (a) scale: dealing with a large number of candidate vi-sualizations and evaluating all of them in parallel, while responding within interactive ...
Thesis (Ph.D.)--University of Washington, 2019While computers can help us manage data, human judgmen...
General visualization recommendation systems typically make design decisions of the dataset automati...
To support effective data exploration, there has been a growing interest in developing solutions tha...
Data analysts often build visualizations as the first step in their analytical workflow. However, wh...
Data analysts often build visualizations as the first step in their analytical workflow. However, wh...
Data analysts operating on large volumes of data often rely on vi-sualizations to interpret the resu...
Data analysts operating on large volumes of data often rely on vi-sualizations to interpret the resu...
ABSTRACT Data analysts operating on large volumes of data often rely on visualizations to interpret ...
Data analysts operating on large volumes of data often rely on visualizations to interpret the resul...
Data analysts operating on large volumes of data often rely on visualizations to in-terpret the resu...
Data visualization is often used as the first step while performing a variety of analytical tasks. W...
Thesis: Ph. D., Massachusetts Institute of Technology, School of Architecture and Planning, Program ...
The improvement of data storage and data acquisition techniques has led to huge accumulated data vol...
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Comput...
Data visualization is a common and effective technique for data exploration. However, for complex da...
Thesis (Ph.D.)--University of Washington, 2019While computers can help us manage data, human judgmen...
General visualization recommendation systems typically make design decisions of the dataset automati...
To support effective data exploration, there has been a growing interest in developing solutions tha...
Data analysts often build visualizations as the first step in their analytical workflow. However, wh...
Data analysts often build visualizations as the first step in their analytical workflow. However, wh...
Data analysts operating on large volumes of data often rely on vi-sualizations to interpret the resu...
Data analysts operating on large volumes of data often rely on vi-sualizations to interpret the resu...
ABSTRACT Data analysts operating on large volumes of data often rely on visualizations to interpret ...
Data analysts operating on large volumes of data often rely on visualizations to interpret the resul...
Data analysts operating on large volumes of data often rely on visualizations to in-terpret the resu...
Data visualization is often used as the first step while performing a variety of analytical tasks. W...
Thesis: Ph. D., Massachusetts Institute of Technology, School of Architecture and Planning, Program ...
The improvement of data storage and data acquisition techniques has led to huge accumulated data vol...
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Comput...
Data visualization is a common and effective technique for data exploration. However, for complex da...
Thesis (Ph.D.)--University of Washington, 2019While computers can help us manage data, human judgmen...
General visualization recommendation systems typically make design decisions of the dataset automati...
To support effective data exploration, there has been a growing interest in developing solutions tha...