Data/Query Envelope
TimeSearcher 1
Project Description:
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.
The time-series prototype is built using HCIL's Piccolo
Toolkit for Zoomable User Interfaces.
Participants:
Harry Hochheiser,
Graduate Student Computer Science
Ben Shneiderman,
Professor Computer Science
Video Demo:
Papers:
- Hochheiser, H., Shneiderman, B.,
Dynamic Query Tools for Time Series Data Sets,
Timebox Widgets for Interactive Exploration,
Information Visualization 3,
1 (March 2004), 1-18.
- Hochheiser; H., Baehrecke, E.H.; Mount, S.M.; and Shneiderman,
B. Dynamic 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, UMIACS-TR-2002-78.
- Hochheiser, H. Shneiderman, B. Visual
Queries for Finding Patterns in Time Series Data University of
Maryland, Computer Science Dept. Tech Report #CS-TR-4365, UMIACS-TR-2002-45
-
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. UMIACS-TR-2001-25.
Availability & Download
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 hsh@cs.umd.edu for details.
For users who have a copy of TimeSearcher, a User Manual is available.
Press:
Related articles:
Support:
This research has been partially supported by funding from an AOL
Fellowship to Harry Hochheiser, 2000-2001.
TimeSearcher 2
Project Description:
TimeSearcher 2 extends the research efforts of TimeSearcher 1, by
visualizing long time series (>10,000 time points) and providing an
overview that allows users to zoom into areas of interest. It provides
the ability to view multivariate time series data, by showing up to ten
simultaneous plots on the same screen. TimeSearcher 2 continues to have
the TimeBox widget, but certain features of TimeSearcher 1, such as
angular query, leaders and laggards have yet to be implemented.
TimeSearcher 2 has been completely re-written in C# using the .NET
framework. A powerful addition is the SearchBox that enables users to
select a subset of an existing time series and search for similar
patterns throughout the data. Users have four controls over the
acceptable similarities. Our current efforts are focused on visualizing
unevenly-spaced time series data, such as found in eBay auctions.
Current Participants:
Previous Participants:
Papers:
- Shmueli, G., Jank, W., Aris, A., Plaisant, C., Shneiderman, B.,
Exploring Auction Databases Through Interactive
Visualization
Decision Support Systems, 2006.
- Aris, A., Shneiderman, B., Plaisant, C., Shmueli, G., Jank, W.,
Representing Unevenly-Spaced Time Series Data for
Visualization and Interactive Exploration
Proceedings of the International Conference on Human-Computer Interaction (INTERACT 2005), LNCS
3585, 835-846, 2005.
- Buono, P., Aris, A., Plaisant, C., Khella, A., Shneiderman, B.,
Interactive Pattern Search in Time Series
Proceedings of Conference on Visualization and Data Analysis,
VDA 2005, SPIE, Washington DC (2005): 175-186.
Availability & Download
TimeSearcher 2 can be
downloaded for academic and non-commercial use.
TimeSearcher 2 is available for educational and research purposes. If
you are interested to use TimeSearcher for corporate internal
distribution or for inclusion in products, please contact
Ben Shneiderman and
Catherine Plaisant
.
For users who have a copy of TimeSearcher 2, a
User Manual
is available.
Press:
Related Papers, Reports, and Examples:
Video:
Current Support:
This research has been supported by NSF grant DMI-0205489, the
Center for Electronic Markets and Enterprises,
the Smith Technology Integration Initiative, and
the R.H. Smith School of Business at the University of Maryland.
Previous Support:
We'd like to thank to ChevronTexaco for the support they provided
for our ongoing research efforts.
TimeSearcher 3
Project Description:
Time-series forecasting has a large number of applications. Users
with a partial time series for auctions, new stock offerings, or industrial
processes desire estimates of the future behavior. We present a data
driven forecasting method and interface called Similarity-Based
Forecasting (SBF). A pattern matching search in a dataset of historical
time series produces a subset of curves similar to the partial time
series. The forecast is displayed graphically as a river plot showing
statistical information about the SBF subset. A forecasting preview
interface allows users to interactively explore alternative pattern
matching parameters and see multiple forecasts simultaneously. User
testing with 8 users demonstrated advantages and led to improvements.
Participants:
Papers:
- Buono, P., Plaisant, C., Simeone, A., Aris, A., Shneiderman, B.,
Shmueli, G., Jank, W.,
Similarity-Based
Forecasting with Simultaneous
Previews: A River Plot Interface for
Time Series Forecasting
Proc. 11th International Conference on Information
Visualisation. Zurich, Switzerland; 2-6 July, 2007.
Availability & Download
TimeSearcher 3 is currently not available for download publicly.
For private inquiries, contact
Ben Shneiderman and
Catherine Plaisant.
Related Project:
TimeSearcher 1 last updated: 3 October 2002
This page last updated:
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