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STL for time series outlier detection

Refer: https://www.knime.com/blog/time-series-analysis-with-componentsNeeds py4j installed in conda >conda install conda-forge::py4j Node 2decidewhich yare outliersbased on abs(y)create var: zdefault: 2adda column'outlier' with value as False decidecolor ofoutlierstakeabs(y)scatter plotoft vs yNode 32Node 33Node 37Node 41Node 44Node 45Node 47Node 48Node 49Node 50 Decompose Signal Data Accessand Cleaning Rule Engine DoubleConfiguration ConstantValue Column Color Manager Math Formula Scatter Plot(JavaScript) Decision tree Gradientboosted Trees Naive Bayes XGBoost TreeEnsemble Learner Final modelselection Variable Creator CSV Reader Normalizer Value Counter Line Plot(JavaScript) Line Chart(JFreeChart) Refer: https://www.knime.com/blog/time-series-analysis-with-componentsNeeds py4j installed in conda >conda install conda-forge::py4j Node 2decidewhich yare outliersbased on abs(y)create var: zdefault: 2adda column'outlier' with value as False decidecolor ofoutlierstakeabs(y)scatter plotoft vs yNode 32Node 33Node 37Node 41Node 44Node 45Node 47Node 48Node 49Node 50Decompose Signal Data Accessand Cleaning Rule Engine DoubleConfiguration ConstantValue Column Color Manager Math Formula Scatter Plot(JavaScript) Decision tree Gradientboosted Trees Naive Bayes XGBoost TreeEnsemble Learner Final modelselection Variable Creator CSV Reader Normalizer Value Counter Line Plot(JavaScript) Line Chart(JFreeChart)

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Created by: kamen
Created at: 2022-02-17
On NodePit since: 2024-08-20
Last update: 2024-09-16
Created with KNIME version: v5.2.3

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