Time series: theory and methods
Time series: theory and methods
Intelligent Data Analysis: Issues and Opportunities
IDA '97 Proceedings of the Second International Symposium on Advances in Intelligent Data Analysis, Reasoning about Data
Representation and extraction of trends from process data
Representation and extraction of trends from process data
Perception based time series data mining with MAP transform
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
Application of pattern recognition techniques to hydrogeological modeling of mature oilfields
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
Hi-index | 0.00 |
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.