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Patterns detection in the Time Series
Author

Igor Hlivka
Revision date

2014-11-11
Description

Pattern analysis in the time series is useful approach for data decomposition and detection of drivers that affect trends, dispersion or curvature. Combination of standard time series techniques with statistical analysis, probability and signal processing methods provide powerful base for quick pattern detection. Mathematica 10 brings extended functionality in every dimension which makes the pattern analysis quick and efficient task.
Subjects

*Business and Economics
*Business and Economics > Finance
Keywords

Time Series analysis, Patterns matching, Signal processing
Downloads

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PatternsinTimeSeriewithMathematica.pdf (416.8 KB) - PDF Document