@inproceedings{671a385c130842d89b1cbcf596572d39,
title = "ELKI in time: ELKI 0.2 for the performance evaluation of distance measures for time series",
abstract = "ELKI is a unified software framework, designed as a tool suitable for evaluation of different algorithms on high dimensional real-valued feature-vectors. A special case of high dimensional real-valued feature-vectors are time series data where traditional distance measures like L p -distances can be applied. However, also a broad range of specialized distance measures like, e.g., dynamic time-warping, or generalized distance measures like second order distances, e.g., shared-nearest-neighbor distances, have been proposed. The new version ELKI 0.2 now is extended to time series data and offers a selection of these distance measures. It can serve as a visualization- and evaluation-tool for the behavior of different distance measures on time series data.",
author = "Elke Achtert and Thomas Bernecker and Kriegel, {Hans Peter} and Erich Schubert and Arthur Zimek",
year = "2009",
month = nov,
day = "2",
doi = "10.1007/978-3-642-02982-0_35",
language = "English",
isbn = "978-3-642-02981-3",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "436--440",
editor = "N. Mamoulis and T. Seidl and Pedersen, {T. B.} and K. Torp and I. Assent",
booktitle = "Advances in Spatial and Temporal Databases - 11th International Symposium, SSTD 2009, Proceedings",
address = "Germany",
note = "11th International Symposium on Spatial and Temporal Databases ; Conference date: 08-07-2009 Through 10-07-2009",
}