Conference papers
ADVISU : interactive visualization of anomalies and dependencies from massive scientific datasets
Abstract : In this demo, we present ADVISU (Anomaly and Dependency VISUalization), a powerful interactive system for visual analytics from massive datasets. ADVISU efficiently computes different types of dependencies (FDs, CFDs) and detects data anomalies from databases of large size, i.e., up to several thousands of attributes and millions of records. Real-time and scalable computational methods have been implemented in ADVISU to ensure interactivity and the demonstration is intended to show how these methods scale up for realworld massive scientific datasets in astrophysical and oceanographic application domains. ADVISU provides the users informative and interactive graphical interfaces for visualizing data dependencies and anomalies. It enables the analysis to be refined interactively while recomputing the dependencies and anomalies in user selected subspaces with good performance.
Cited literature [6 references]
https://hal-enac.archives-ouvertes.fr/hal-00879080
Contributor : Laurence Porte <>
Submitted on : Thursday, October 31, 2013 - 4:50:23 PM
Last modification on : Thursday, May 28, 2020 - 3:46:02 PM
Document(s) archivé(s) le : Saturday, February 1, 2014 - 4:30:23 AM
Contributor : Laurence Porte <>
Submitted on : Thursday, October 31, 2013 - 4:50:23 PM
Last modification on : Thursday, May 28, 2020 - 3:46:02 PM
Document(s) archivé(s) le : Saturday, February 1, 2014 - 4:30:23 AM
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Hurter_EGC2012.pdf
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