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Time Series Analysis with Machine Learning

Books KNIME Advanced Luck Time Series Time Series Analysis Machine Learning
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This workflow shows an example of time series analysis using the pre-packaged metanodes Time Series Auto-Prediction Training and Time Series Auto-Prediction Predictor. After reading the time series of the number of visitor to a web site, we want to predict today's number of visitory given the number of visitors in the past N=5 days. Here we use the Linear Regression, but any other numerical prediction algorithm would have worked as well.

Used extensions & nodes

Created with KNIME Analytics Platform version 4.3.1
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.1

    knime
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    KNIME Expressions Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

    knime
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    KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

    knime
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    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

    knime
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    KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

    knime
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    KNIME Python Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.1

    knime
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    KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.1

    knime
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