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Zurich, Switzerland
July 4, 2007 to July 6, 2007
ISBN: 0-7695-2907-0
pp: 191-196
Paolo Buono , Universit? di Bari, Bari, Italy
Catherine Plaisant , Human-Computer Interaction Laboratory
Adalberto Simeone , Universit? di Bari, Bari, Italy
Aleks Aris , University of Maryland
Ben Shneiderman , University of Maryland
Galit Shmueli , University of Maryland
Wolfgang Jank , University of Maryland
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 an historical time series dataset 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.
Paolo Buono, Catherine Plaisant, Adalberto Simeone, Aleks Aris, Ben Shneiderman, Galit Shmueli, Wolfgang Jank, "Similarity-Based Forecasting with Simultaneous Previews: A River Plot Interface for Time Series Forecasting", IV, 2007, 2013 17th International Conference on Information Visualisation, 2013 17th International Conference on Information Visualisation 2007, pp. 191-196, doi:10.1109/IV.2007.101
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