zenvisage.github.io

Zenvisage

A System for Effortless Visual Exploration of Large Datasets. In the "big data" era, everyone has access to massive quantities of data, and are struggling to make sense of, and derive value from such data. The state of the art for non-programmers is to load this data into a visualization tool, and repeatedly generate visualizations until desired ones are identified. This exploration is painful, tedious, and time-consuming. Meaning that the "insight per unit time". Interactive Insight Sketch Interface.

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A System for Effortless Visual Exploration of Large Datasets. In the big data era, everyone has access to massive quantities of data, and are struggling to make sense of, and derive value from such data. The state of the art for non-programmers is to load this data into a visualization tool, and repeatedly generate visualizations until desired ones are identified. This exploration is painful, tedious, and time-consuming. Meaning that the insight per unit time. Interactive Insight Sketch Interface.

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Zenvisage | zenvisage.github.io Reviews

https://zenvisage.github.io

A System for Effortless Visual Exploration of Large Datasets. In the "big data" era, everyone has access to massive quantities of data, and are struggling to make sense of, and derive value from such data. The state of the art for non-programmers is to load this data into a visualization tool, and repeatedly generate visualizations until desired ones are identified. This exploration is painful, tedious, and time-consuming. Meaning that the "insight per unit time". Interactive Insight Sketch Interface.

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zenvisage.github.io

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Zenvisage

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A System for Effortless Visual Exploration of Large Datasets. In the "big data" era, everyone has access to massive quantities of data, and are struggling to make sense of, and derive value from such data. The state of the art for non-programmers is to load this data into a visualization tool, and repeatedly generate visualizations until desired ones are identified. This exploration is painful, tedious, and time-consuming. Meaning that the "insight per unit time". Interactive Insight Sketch Interface.

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data-people.cs.illinois.edu

Aditya Parameswaran@UIUC

http://data-people.cs.illinois.edu/visual.html

Info Extraction and Integration. December 10, 2016) Update: Please head on over to the. For the latest. This page is no longer actively maintained. SeeDB: Automatic Visualization Recommendation. Approximate Scalable Visualization Generation.

data-people.cs.illinois.edu

Aditya Parameswaran@UIUC

http://data-people.cs.illinois.edu/recom.html

Info Extraction and Integration. December 10, 2016) Update: I am no longer actively working on recommendation systems, except in the context of visualization recommendation. Please head on over to the. To find out more. This page is no longer actively maintained. Firstly, there are the problem of requirements. Every university program stipulates that in order to graduate the student needs to satisfy a set of requirements. These requirements could read like:. Third, people have looked at sequence mining w...

data-people.cs.illinois.edu

Aditya Parameswaran@UIUC

http://data-people.cs.illinois.edu/index.html

Info Extraction and Integration. I am an assistant professor of Computer Science at the University of Illinois (UIUC). My research interests are broadly in. Simplifying and improving data analytics. Ie, helping users make better use of their data. My work involves building real data analytics systems with principled foundations, designing algorithms (with formal guarantees) for the systems, as well as mining data obtained from such systems. Four best-of-conference citations (VLDB 2010, KDD 2012, ICDE 201...

data-people.cs.illinois.edu

Aditya Parameswaran@UIUC

http://data-people.cs.illinois.edu/query.html

Info Extraction and Integration. Interactive and Approximate Analytics. December 10, 2016) Update: Please head on over to the. For the latest on approximate visualization work, to the. For the scalable spreadsheet work, and to the. For the versioning and collaborative analytics work. This page is no longer actively maintained. DataHub: Collaborative Dataset Version Management at Scale. NeedleTail: A System for Browsing. Smart Drill-Down: An Interactive Exploration Operator.

web.engr.illinois.edu

Aditya Parameswaran@UIUC

http://web.engr.illinois.edu/~adityagp

Info Extraction and Integration. I am an assistant professor of Computer Science at the University of Illinois (UIUC). My research interests are broadly in. Simplifying and improving data analytics. Ie, helping users make better use of their data. My work involves building real data analytics systems with principled foundations, designing algorithms (with formal guarantees) for the systems, as well as mining data obtained from such systems. Advised by Prof. Hector Garcia-Molina. Research (2010), four bes...

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A System for Effortless Visual Exploration of Large Datasets. In the "big data" era, everyone has access to massive quantities of data, and are struggling to make sense of, and derive value from such data. The state of the art for non-programmers is to load this data into a visualization tool, and repeatedly generate visualizations until desired ones are identified. This exploration is painful, tedious, and time-consuming. Meaning that the "insight per unit time". Interactive Insight Sketch Interface.

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