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c6.1_Time_Series_introduction

Components Time Series Analysis

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Learn the basic steps to perform time series analysis with KNIME and the Time Series Components. The data used for this example is the well-known air passenger dataset from the book "Time Series Analysis" by Box, Jenkins, and Reinsel. The data set contains the number of monthly airline passengers in thousands from 1949 to 1960. The prediction is made by decomposing the time series in a trend and a seasonal component.

External resources

  • Time Series Analysis with KNIME - an introduction

Used extensions & nodes

Created with KNIME Analytics Platform version 4.4.2
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.2

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    KNIME Expressions Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

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    KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.2

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    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.2

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    KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

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    KNIME Python Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.2

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    KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.2

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