Temporal Density Extrapolation
نویسنده
چکیده
Mining evolving datastreams raises the question how to extrapolate trends in the evolution of densities over time. While approaches for change diagnosis work well for interpolating spatio-temporal densities, they are not designed for extrapolation tasks. This work studies the temporal density extrapolation problem and sketches two approaches that addresses it. Both use a set of pseudo-points in combination with spatio-temporal kernel density estimation. The first, weightextrapolating approach, uses regression on the weights of stationarylocated pseudo-points. The second, location-extrapolating approach, extrapolates the trajectory of uniformly-weighted pseudo-points within the feature space.
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