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TSDMA main page University of California, Riverside


Welcome to the UCR Time Series Data Mining Archive

[A resource for researchers interested in the clustering, classification, indexing, segmentation, change point detection and rule extraction of time series.]

Call for Datasets, Code and General Contributions

How you can help.


You can help by contributing data sets, code, pointers to (and brief reviews of) papers, links, definitions and general suggestions. All contributions will be permanently acknowledged.

Available Materials 

 

Librarian:

Eamonn Keogh
Assistant Professor
Computer Science & Engineering Department
Surge building
University of California - Riverside
Riverside,CA 92521

Phone: (909) 787-2032
Fax: (909)-787-3188
eamonn@cs.ucr.edu

Reference:

If you publish material based on datasets obtained from this archive, then please note in your acknowledgments, the assistance you received by using this service. This will help others to obtain the same datasets and confirm your findings.
Please use the following reference format for referring to this archive:

Keogh, E. & Folias, T. (2002). The UCR Time Series Data Mining Archive
[http://www.cs.ucr.edu/~eamonn/TSDMA/index.html]. Riverside CA. University of California - Computer Science & Engineering Department

We also request that you send the citation information for your article to eamonn@cs.ucr.edu. We will include a reference to your work from the archive.