A Simple Dimensionality Reduction Technique for Fast Similarity Search in Large Time Series Databases Export

@inproceedings{citeulike:227135, address = {London, UK}, author = {Keogh, Eamonn J. and Pazzani, Michael J.}, booktitle = {PADKK '00: Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications}, citeulike-article-id = {227135}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=693335}, isbn = {3-540-67382-2}, keywords = {analysis, data, dimensionality, reduction, series, time}, pages = {122--133}, posted-at = {2005-06-14 02:26:35}, priority = {3}, publisher = {Springer-Verlag}, title = {A Simple Dimensionality Reduction Technique for Fast Similarity Search in Large Time Series Databases}, url = {http://portal.acm.org/citation.cfm?id=693335}, year = {2000} }

TY - CONF ID - citeulike:227135 L3 - citeulike-article-id:227135 SN - 3-540-67382-2 AD - London, UK EP - 133 TI - A Simple Dimensionality Reduction Technique for Fast Similarity Search in Large Time Series Databases PB - Springer-Verlag T2 - PADKK '00: Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications SP - 122 KW - analysis KW - data KW - dimensionality KW - reduction KW - series KW - time AU - Keogh, Eamonn AU - Pazzani, Michael PY - 2000/// UR - http://portal.acm.org/citation.cfm?id=693335 ER -