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.
Year
DOI
Venue
2006
10.1007/11892755_94
CIARP
Keywords
Field
DocType
expert system,pattern recognition,time series
Computer vision,Pattern recognition,Computer science,Expert system,Image processing,Artificial intelligence,Perception
Conference
Volume
ISSN
ISBN
4225
0302-9743
3-540-46556-1
Citations 
PageRank 
References 
2
0.64
6
Authors
2
Name
Order
Citations
PageRank
Ildar Z. Batyrshin17815.17
Leonid Sheremetov219828.37