import ".names" and ".data" file into rapidminer

pariB

hi every body,

i have a dataSet that has some nominal attributes and i need to convert them to numerical ones. the dataSet is from  UCI  Machine Learning repository (http://archive.ics.uci.edu/ml/) . it has two type of files( ".data" and ".names" file).
1) how should i import ".data" and ".names" file in rapidminer ?
2) how "nominal to numrical" operator must be used to convert data?

any help will be appreciated

fritmore

hi
the .data file is simply CSV like format comma separated.

So just download the file (you can rename it into something.csv) and use Read CSV operator.
I dont think you want to import .name one its just meta information about the datafile.

To make it even easier for you: just copy and paste this code into your rapidminer XML view(remove the previous xml code), click the green check symbol and switch back to the normal Process (diagram) view.

<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.2.008">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="5.2.008" expanded="true" name="Process">
    <process expanded="true" height="145" width="279">
      <operator activated="true" class="read_csv" compatibility="5.2.008" expanded="true" height="60" name="Read CSV" width="90" x="179" y="75">
        <parameter key="csv_file" value="C:\iris.data"/>
        <parameter key="column_separators" value=","/>
        <parameter key="first_row_as_names" value="false"/>
        <list key="annotations"/>
        <parameter key="encoding" value="windows-1252"/>
        <list key="data_set_meta_data_information">
          <parameter key="0" value="att1.true.real.attribute"/>
          <parameter key="1" value="att2.true.real.attribute"/>
          <parameter key="2" value="att3.true.real.attribute"/>
          <parameter key="3" value="att4.true.real.attribute"/>
          <parameter key="4" value="att5.true.polynominal.attribute"/>
        </list>
      </operator>
      <connect from_op="Read CSV" from_port="output" to_port="result 1"/>
      <portSpacing port="source_input 1" spacing="0"/>
      <portSpacing port="sink_result 1" spacing="0"/>
      <portSpacing port="sink_result 2" spacing="0"/>
    </process>
  </operator>
</process>

If you click import wizard on the CSV read operator you can specify type and names of your variables as you please.

f

pariB wrote:

hi every body, i have a dataSet that has some nominal attributes and i need to convert them to numerical ones. the dataSet is from  UCI  Machine Learning repository (http://archive.ics.uci.edu/ml/) . it has two type of files( ".data" and ".names" file). 1) how should i import ".data" and ".names" file in rapidminer ? 2) how "nominal to numrical" operator must be used to convert data? any help will be appreciated