TY - JFULL AU - S. V. Yendiyarov PY - 2013/11/ TI - Adaptive Dynamic Time Warping for Variable Structure Pattern Recognition T2 - International Journal of Mechanical and Industrial Engineering SP - 1351 EP - 1356 VL - 7 SN - 1307-6892 UR - https://publications.waset.org/pdf/17207 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 82, 2013 N2 - Pattern discovery from time series is of fundamental importance. Particularly, when information about the structure of a pattern is not complete, an algorithm to discover specific patterns or shapes automatically from the time series data is necessary. The dynamic time warping is a technique that allows local flexibility in aligning time series. Because of this, it is widely used in many fields such as science, medicine, industry, finance and others. However, a major problem of the dynamic time warping is that it is not able to work with structural changes of a pattern. This problem arises when the structure is influenced by noise, which is a common thing in practice for almost every application. This paper addresses this problem by means of developing a novel technique called adaptive dynamic time warping. ER -