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 on: Today at 08:57:28 AM 
Started by LBWood - Last post by Marco Boeck

you simply click on the "Add Filters..." button after adding the 'Filter Examples' operator to your process. Make sure to select "invert filter". Then just set the filter up like in the screenshot below:

If you are not using RapidMiner Studio 6 but the old version 5 instead, you can use the following attribute_value_filter:


 on: Today at 03:24:14 AM 
Started by LBWood - Last post by LBWood
I'm new at this. I just want to do a very simple thing. I want to use the Filter Examples operator to remove examples that have a value of 0 for one attribute. The attribute is an integer. It doesn't seem to be working and I don't know what I'm doing wrong. I'd appreciate some suggestions. It must be something very simple.

 on: January 23, 2015, 03:02:10 PM 
Started by Mika - Last post by Mika
Thank you. It turned out that I had 32 bit version although I thought I had 64 bit version. Will install RM again in a 64 bit form. Let's keep fingers crossed that everything will go smothly now  Smiley

 on: January 23, 2015, 10:37:57 AM 
Started by SvenVanPoucke - Last post by SvenVanPoucke
It seems there is too much Big Data out there to find RM community members to write such a review. I thought this might have been an opportunity for the RM members. Anyway, just submitted an editorial to the BMJ, where RM is mentioned.

 on: January 23, 2015, 09:42:33 AM 
Started by Mika - Last post by Marco Boeck

I'll assume you're on Windows because on all other operating systems it depends on what Java version you have installed locally.
The quickest way to check is by navigating to the installation folder of RapidMiner Studio, going into the "jre\bin" subfolder and look for a file called "WindowsAccessBridge-64.dll". If that is there, you have the 64 bit version. If the file is instead called "WindowsAccessBridge-32.dll", you have the 32 bit version.


 on: January 23, 2015, 09:40:38 AM 
Started by helpmemine - Last post by Martin Schmitz
Hi again,

great that it helped you. I don't know where you are working, but you might be interested in our trainings. We currently offer trainings in the US, UK and Germany. For details see: The Basic courses might be really suited for you to get into Predictive Analytics/Data Mining/ETL in Rapidminer etc.

If you are forced to learn it yourself, you might have a look at "Data Mining for the masses" a free book avaible here:
It is really helpful for beginners.

If you have any further question, feel free to ask!



 on: January 23, 2015, 09:28:54 AM 
Started by helpmemine - Last post by helpmemine

Thank you, this really helped a lot! After hours of integrating, I finally managed to get it working.

I already stumbled upon available quantity related questions, but I found a lead from the tutorial, again.

All the best!

 on: January 23, 2015, 08:58:26 AM 
Started by Mika - Last post by Mika
Trying to install R extension wihtout success. Finally, decided to go to the basics... How to know which version of the RapidMiner I originally installed?

 on: January 22, 2015, 05:20:48 PM 
Started by helpmemine - Last post by Martin Schmitz

attached is a real small process calculating stuff grouped by your categories. If you want to use Generate Attribtues afterwards you need to replace the brackets.

You can simply copy this XML code into the XML view of your Rapidminer Studio. Be sure to change the path in Read Excel.



<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="6.2.000">
  <operator activated="true" class="process" compatibility="6.2.000" expanded="true" name="Process">
    <process expanded="true">
      <operator activated="true" class="read_excel" compatibility="6.2.000" expanded="true" height="60" name="Read Excel" width="90" x="112" y="30">
        <parameter key="excel_file" value="C:\Users\Martin\Downloads\Example data.xls"/>
        <parameter key="imported_cell_range" value="A1:F17"/>
        <parameter key="first_row_as_names" value="false"/>
        <list key="annotations">
          <parameter key="0" value="Comment"/>
          <parameter key="1" value="Name"/>
        <list key="data_set_meta_data_information">
          <parameter key="0" value="House.true.polynominal.attribute"/>
          <parameter key="1" value="Category.true.polynominal.attribute"/>
          <parameter key="2" value="Description.true.polynominal.attribute"/>
          <parameter key="3" value="Euro .true.real.attribute"/>
          <parameter key="4" value="Quantity.true.integer.attribute"/>
          <parameter key="5" value="EAN.true.real.attribute"/>
      <operator activated="true" class="aggregate" compatibility="6.2.000" expanded="true" height="76" name="Aggregate" width="90" x="380" y="30">
        <list key="aggregation_attributes">
          <parameter key="Euro" value="average"/>
          <parameter key="Euro" value="maximum"/>
          <parameter key="Euro" value="standard_deviation"/>
        <parameter key="group_by_attributes" value="Category"/>
      <connect from_op="Read Excel" from_port="output" to_op="Aggregate" to_port="example set input"/>
      <connect from_op="Aggregate" from_port="example set 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"/>

 on: January 22, 2015, 04:33:40 PM 
Started by helpmemine - Last post by helpmemine

Thank you for a such a prompt reply!

The Join Operator lead was highly useful! I am currently going through the Join Operator tutorial and playing with the example data to understand how the process is built up and how the key attributes and operators work together. Good stuff!  Smiley

I will try to move towards Aggregate and Group By later today.

Also, I compiled some example data, as requested:

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