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As the visualized analysis result, differences between the pre- and post-window icon illustrate the change in the time series pattern characteristics.
Time series pattern representation is the basis of time series similarity matching research, while similarity matching is the core of their research.
Time series pattern mining (TSPM) architecture combines the extended visualization-induced self-organizing map algorithm and the extended Naïve Bayesian algorithm.
19 It can compare the time series pattern before the intervention with the pattern after the intervention.
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Finally, the time series patterns are somewhat more complex when examining SSI receipt alone (see Figure 5).
The information contained in snow presence sequences was then used to derive summary indices to describe the time series patterns.
The methodology identifies time series patterns, creates and transforms explanatory variables and specifies multilayer perceptrons for heterogeneous sets of time series without expert intervention.
Figures 3, 4 and 5 display the time series patterns of quarterly SSDI/SSI receipt rates by VR treatment status where quarters are measured relative to the application date in SFY 2000.
The time series patterns of SSI receipt are different (see Figure 1C) in part reflecting the differences in the nonmedical eligibility criteria between the two programs; for the most part, SSDI requires significant work history, while SSI is means-tested.
For each of these two cohorts, Figure 7 displays the time series patterns of quarterly SSDI/SSI receipt rates by VR treatment status, where quarters are measured relative to the application date in SFY 2000.
Owing to its ability in recognizing time series patterns and nonlinear characteristics, the hybrid model provides much better accuracy over the ARIMA and neural network models for water quality predictions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com