ABSTRACT
This paper describes a Tablet-PC based software tool that is designed to allow researchers to effectively and naturally collaborate on time series data that arises in their research. The application is a distributed application that allows the users to browse, annotate, and search their time series data while also allowing them to view the annotations of others. The software is written to be totally flexible about the kind of time series data loaded into it. This could be a valuable training tool for those trying to learn how to interpret certain kinds of time series data, or a great asset to a group trying to build a repository of annotated datasets for research purposes. This paper presents this new software tool, called TSPad, describes its functionality, and describes how it implements some of its functionality.
- Halford, JJ, Dean BC, "Detection and Study of Paroxysmal Activity in the Electroencephalogram using Multi-taper Blind Signal Source Separation", In preparation, 2007Google Scholar
- Keogh, E. J., Pazzani, M. J. "A simple dimensionality reduction technique for fast similarity search in large time series databases", Proc. of Pacific- Asia Conf. on Knowledge Discovery and Data Mining, 2000. Google ScholarDigital Library
- Keogh, E. J., Pazzani, M. J. "Scaling up dynamic time warping for datamining applications". KDD pp 285--289, 2000 Google ScholarDigital Library
- Wattenberg, M. "Sketching a Graph to Query a Time-Series Database," CHI 2001 Extended Abstracts, Seattle, Washington, pp. 381--382, April 2001. Google ScholarDigital Library
- Delorme, A., Makeig, S. "EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics," Journal of Neuroscience Methods 134:9--21, 2004.Google ScholarCross Ref
- WIPTE: http://www.itap.purdue.edu/tlt/conference/wipte/Google Scholar
- PLT: http://plt2007.ing.unict.it/HTML/pag00.htmGoogle Scholar
- Agrawal, R., Psaila, G., Wimmers, E. L., Zait, M., "Querying shapes of histories." Proc. of the 21st Int'l Conference on Very Large Databases. 1995b. Google ScholarDigital Library
- Patel, P., Keogh E., Lin, J., Lonardi, S. "Mining motifs in massive time series databases." In Proceedings of the IEEE Int. Conf. on Data Mining, Maebashi City, Japan, 20 Google ScholarDigital Library
- TSPad: a Tablet-PC based application for annotation and collaboration on time series data
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