@inproceedings{feb959d6d48c42f5855e26c4e3238425,
title = "Time series pattern recognition based on MAP transform and local trend associations",
abstract = "The methods of pattern recognition in time series based on moving approximation (MAP) transform and MAP image of patterns are proposed. We discuss main properties of MAP transform, introduce a concept of a MAP image of time series and distance between time series patterns based on this concept which were used for recognition of small patterns in noisy time series. To illustrate the application of this technique to recognition of perception based patterns given by sequence of slopes, an example of recognition of water production patterns in petroleum wells used in expert system for diagnosis of water production problems is considered.",
keywords = "Local trend association, Moving approximation transform, Pattern recognition, Time series",
author = "Ildar Batyrshin and Leonid Sheremetov",
year = "2006",
doi = "10.1007/11892755_94",
language = "Ingl{\'e}s",
isbn = "3540465561",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "910--919",
booktitle = "Progress in Pattern Recognition, Image Analysis and Applications - 11th Iberoamerican Congress in Pattern Recognition, CIARP 2006, Proceedings",
address = "Alemania",
note = "11th Iberoamerican Congress in Pattern Recognition, CIARP 2006 ; Conference date: 14-11-2006 Through 17-11-2006",
}