Similarity-based forecasting with simultaneous previews: A river plot interface for time series forecasting
Buono, P, Plaisant, C, Simeonel, A, Aris, A, Shneiderman, B, Shmueli, G, Jank, WGIEEE Int. Conf. Inf. Vis. , 191 - 196 (2007)
Times cited: 14
Abstract
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.