Title | ||
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Lytic: synthesizing high-dimensional algorithmic analysis with domain-agnostic, faceted visual analytics |
Abstract | ||
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We present Lytic, a domain-independent, faceted visual analytic (VA) system for interactive exploration of large datasets. It combines a flexible UI that adapts to arbitrary character-separated value (CSV) datasets with algorithmic preprocessing to compute unsupervised dimension reduction and cluster data from high-dimensional fields. It provides a variety of visualization options that require minimal user effort to configure and a consistent user experience between visualization types and underlying datasets. Filtering, comparison and visualization operations work in concert, allowing users to hop seamlessly between actions and pursue answers to expected and unexpected data hypotheses. |
Year | DOI | Venue |
---|---|---|
2013 | 10.1145/2501511.2501518 | IDEA@KDD |
Keywords | Field | DocType |
consistent user experience,underlying datasets,large datasets,high-dimensional algorithmic analysis,faceted visual analytics,visualization operation,visualization option,visualization type,arbitrary character-separated value,minimal user effort,unexpected data hypothesis,cluster data,visual analytics | Data mining,User experience design,Dimensionality reduction,Visualization,Computer science,Filter (signal processing),Visual analytics,Preprocessor,Interactive visual analysis,Artificial intelligence,Machine learning | Conference |
Citations | PageRank | References |
0 | 0.34 | 27 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Edward Clarkson | 1 | 88 | 7.53 |
Jaegul Choo | 2 | 556 | 46.81 |
John Turgeson | 3 | 0 | 0.34 |
Ray Decuir | 4 | 0 | 0.34 |
Haesun Park | 5 | 3546 | 232.42 |