transform data to series

[walidos07]

Hello,
my data are defined as follows:
Sample   T1   T2   T3   T4
S1      s11   s12   s13   s14
S2      s21   s22   s23   s24
S3      s31   s32   s33   s34
Each line is a time series data.
my question:how to transform my data to use series operators such as discrete wavelet transform for each instance s1, s2 and s3.
thank you for your help

[awchisholm]

Here's an example that you could use as a basis.

Code:

<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.0">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="5.0.8" expanded="true" name="Process">
    <process expanded="true" height="521" width="614">
      <operator activated="true" class="series:generate_example_set_series" compatibility="5.0.2" expanded="true" height="60" name="Generate Data (Series)" width="90" x="45" y="75">
        <parameter key="number_of_examples" value="200"/>
        <parameter key="number_of_frequencies" value="1"/>
      </operator>
      <operator activated="true" class="series:process_series" compatibility="5.0.2" expanded="true" height="76" name="Process Series" width="90" x="179" y="75">
        <parameter key="start_attribute" value="att0"/>
        <parameter key="end_attribute" value="att512"/>
        <process expanded="true" height="716" width="707">
          <operator activated="true" class="series:window_transformation" compatibility="5.0.2" expanded="true" height="60" name="Window Transformation" width="90" x="45" y="75">
            <parameter key="function_type" value="Bartlett"/>
          </operator>
          <operator activated="true" class="series:discrete_fourier_transformation" compatibility="5.0.2" expanded="true" height="60" name="Discrete Fourier Transformation" width="90" x="179" y="75"/>
          <operator activated="true" class="series:extract_peak" compatibility="5.0.2" expanded="true" height="60" name="Extract Peak" width="90" x="313" y="75">
            <parameter key="number_of_peaks" value="1"/>
          </operator>
          <connect from_port="series" to_op="Window Transformation" to_port="series"/>
          <connect from_op="Window Transformation" from_port="series" to_op="Discrete Fourier Transformation" to_port="series"/>
          <connect from_op="Discrete Fourier Transformation" from_port="series" to_op="Extract Peak" to_port="series"/>
          <connect from_op="Extract Peak" from_port="series" to_port="series"/>
          <portSpacing port="source_series" spacing="0"/>
          <portSpacing port="source_input 1" spacing="0"/>
          <portSpacing port="sink_series" spacing="0"/>
        </process>
      </operator>
      <operator activated="true" class="x_validation" compatibility="5.0.0" expanded="true" height="112" name="Validation" width="90" x="380" y="75">
        <description>A cross validation including a linear regression.</description>
        <process expanded="true" height="654" width="466">
          <operator activated="true" class="support_vector_machine" compatibility="5.0.8" expanded="true" height="112" name="SVM" width="90" x="188" y="30"/>
          <connect from_port="training" to_op="SVM" to_port="training set"/>
          <connect from_op="SVM" from_port="model" to_port="model"/>
          <portSpacing port="source_training" spacing="0"/>
          <portSpacing port="sink_model" spacing="0"/>
          <portSpacing port="sink_through 1" spacing="0"/>
        </process>
        <process expanded="true" height="654" width="466">
          <operator activated="true" class="apply_model" compatibility="5.0.0" expanded="true" height="76" name="Apply Model" width="90" x="45" y="30">
            <list key="application_parameters"/>
          </operator>
          <operator activated="true" class="performance" compatibility="5.0.0" expanded="true" height="76" name="Performance" width="90" x="179" y="30"/>
          <connect from_port="model" to_op="Apply Model" to_port="model"/>
          <connect from_port="test set" to_op="Apply Model" to_port="unlabelled data"/>
          <connect from_op="Apply Model" from_port="labelled data" to_op="Performance" to_port="labelled data"/>
          <connect from_op="Performance" from_port="performance" to_port="averagable 1"/>
          <portSpacing port="source_model" spacing="0"/>
          <portSpacing port="source_test set" spacing="0"/>
          <portSpacing port="source_through 1" spacing="0"/>
          <portSpacing port="sink_averagable 1" spacing="0"/>
          <portSpacing port="sink_averagable 2" spacing="0"/>
        </process>
      </operator>
      <connect from_op="Generate Data (Series)" from_port="output" to_op="Process Series" to_port="example set"/>
      <connect from_op="Process Series" from_port="example set" to_op="Validation" to_port="training"/>
      <connect from_op="Validation" from_port="model" to_port="result 1"/>
      <connect from_op="Validation" from_port="averagable 1" to_port="result 2"/>
      <portSpacing port="source_input 1" spacing="0"/>
      <portSpacing port="sink_result 1" spacing="0"/>
      <portSpacing port="sink_result 2" spacing="0"/>
      <portSpacing port="sink_result 3" spacing="0"/>
    </process>
  </operator>
</process>

Andrew

[wessel]

This example is really good.

Do you have more examples?

I hardly ever use: "Process Series" because I don't understand how it works.
But it seems really powerful.

[awchisholm]

Hello

There are a few more examples on my blog

http://rapidminernotes.blogspot.co.uk/search/label/Valueseries

Andrew

[wessel]

I don't understand how to download those .xml files on your blog.

[awchisholm]

For reasons I can't remember now, I keep all the files in Google Docs and it's too late to change now.

Keep following the links until you find them.

Andrew