[Science_Parameters: Science_Category='EARTH SCIENCE', Science_Topic='BIOSPHERE', Science_Term='ECOSYSTEMS', Science_Variable_Level_1='TERRESTRIAL ECOSYSTEMS', Science_Variable_Level_2='WETLANDS']
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 firstname.lastname@example.org for details.
Role: SERF AUTHOR
Email: Tyler.B.Stevens at nasa.gov
5700 Rivertech Court
Province or State: MD
Postal Code: 20737
Hochheiser, H., Shneiderman, B., Dynamic Query Tools for Time Series
Data Sets, Timebox Widgets for Interactive Exploration, Information
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Querying for Pattern Identification in Microarray and Genomic Data Proeedings
IEEE Multimedia Conference and Expo, July 2003, Baltimore, MD.
Hochheiser, H. Interactive Graphical Querying of Time Series and Linear
Sequence Data Sets" Ph.D. Dissertation, University of Maryland, Department of
Computer Science, May 2003.
Keogh, E., Hochheiser, H., and Shneiderman B. An Augmented Visual Query
Mechanism for Finding Patterns in Time Series Data Proc. Fifth International
Conference on Flexible Query Answering Systems, (October 27-29, 2002,
Copenhagen, Denmark). Spring-Verlag, Lecture Notes in Artificial Intelligence.
Univesrity of Maryland Computer Science Dept. Technical Report #CS-TR-4398,
Hochheiser, H. Shneiderman, B. Visual Queries for Finding Patterns in
Time Series Data University of Maryland, Computer Science Dept. Tech Report
Hochheiser, H., Shneiderman, B. Visual Specification of Queries for
Finding Patterns in Time-Series Data Proceedings Discovery Science 2001,
University of Maryland, Computer Science Dept. Technical Report #CS-TR-4326.
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