[Science_Parameters: Science_Category='EARTH SCIENCE', Science_Topic='ATMOSPHERE', Science_Term='ATMOSPHERIC CHEMISTRY', Science_Variable_Level_1='CARBON AND HYDROCARBON COMPOUNDS']
Timesearcher: Visual Exploration of Time-Series DataEntry ID: timesearcher
Abstract: Widespread interest in discovering features and trends in time- series has generated a need for tools that support interactive exploration. We have built a prototype environment for interactive querying and exploration of time-series data. Queries are built using timeboxes: a powerful graphical, direct-manipulation metaphor for the specification of queries over time-series datasets. These ... timeboxes support interactive formulation and modification of queries, thus speeding the process of exploring time-series data sets and guiding data mining. The prototype includes windows for timebox queries, individual time-series, and details-on-demand. Other features include drag-and-drop support for query-by-example and graphical envelopes for displaying the extent of the entire data set and result set from a given query.
ISO Topic Category
Access Constraints TimeSearcher can be downloaded for academic and non-commercial use.
If you are interested would like to use TimeSearcher for corporate use, please contact the University of Maryland, Office of Technology Commercialization. We are also willing to make source code available to collaborators: please contact email@example.com for details.
Role: SERF AUTHOR
Email: Tyler.B.Stevens at nasa.gov
5700 Rivertech Court
Province or State: MD
Postal Code: 20737
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Mechanism for Finding Patterns in Time Series Data Proc. Fifth International
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Copenhagen, Denmark). Spring-Verlag, Lecture Notes in Artificial Intelligence.
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