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11th International Conference Information Visualization (IV '07)
Similarity-Based Forecasting with Simultaneous Previews: A River Plot Interface for Time Series Forecasting
Zurich, Switzerland
July 04-July 06
ISBN: 0-7695-2900-3
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.
Citation:
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, pp.191-196, 11th International Conference Information Visualization (IV '07), 2007
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