Indexing multi-dimensional time-series with support for multiple distance measures

@inproceedings{Vlachos2003IndexingMT,
  title={Indexing multi-dimensional time-series with support for multiple distance measures},
  author={Michail Vlachos and Marios Hadjieleftheriou and Dimitrios Gunopulos and Eamonn J. Keogh},
  booktitle={KDD},
  year={2003}
}
Although most time-series data mining research has concentrated on providing solutions for a single distance function, in this work we motivate the need for a single index structure that can support multiple distance measures. Our specific area of interest is the efficient retrieval and analysis of trajectory similarities. Trajectory datasets are very common in environmental applications, mobility experiments, video surveillance and are especially important for the discovery of certain… CONTINUE READING
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