Data Alignment Via Dynamic Time Warping as a Prerequisite for Batch-End Quality Prediction

Geert Gins, Jairo Espinosa, Ilse Y. Smets, Wim Van Brempt, Jan F. M. Van Impe. Data Alignment Via Dynamic Time Warping as a Prerequisite for Batch-End Quality Prediction. In Petra Perner, editor, Advances in Data Mining, Applications in Medicine, Web Mining, Marketing, Image and Signal Mining, 6th Industrial Conference on Data Mining, ICDM 2006, Leipzig, Germany, July 14-15, 2006, Proceedings. Volume 4065 of Lecture Notes in Computer Science, pages 506-510, Springer, 2006. [doi]

Abstract

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