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Modified dynamic programming approach for offline segmentation of long hydrometeorological time series
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Modified dynamic programming approach for offline segmentation of long hydrometeorological time series
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Journal Article
Modified dynamic programming approach for offline segmentation of long hydrometeorological time series
2010
Overview
For the offline segmentation of long hydrometeological time series, a new algorithm which combines the
dynamic programming
with the recently introduced
remaining cost
concept of branch-and-bound approach is developed. The algorithm is called
modified dynamic programming
(mDP) and segments the time series based on the first-order statistical moment. Experiments are performed to test the algorithm on both real world and artificial time series comprising of hundreds or even thousands of terms. The experiments show that the mDP algorithm produces accurate segmentations in much shorter time than previously proposed segmentation algorithms.
Publisher
Springer-Verlag,Springer Nature B.V
