RapidMiner: Introduction To Rapid Miner


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RapidMiner: Introduction To Rapid Miner 5

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RapidMiner: Introduction To Rapid Miner

  1. 1. RapidMiner5<br />2.1 Introduction to RapidMiner5<br />
  2. 2. What is Data Mining ??<br />Wikipedia: Data mining is the process of extracting patterns from data. Data mining is becoming an increasingly important tool to transform this data into information. It is commonly used in a wide range of profiling practices, such as marketing, surveillance, fraud detection and scientific discovery.<br />
  3. 3. Data Mining with RapidMiner5<br />RapidMiner (formerly Yale):<br /> Is an environment for machine learning and data mining processes. <br />Follows a modular operator concept which allows the design of complex nested operator chains for a huge number of learning problems. <br />Allows for the data handling to be transparent to the operators.<br />
  4. 4. Data Mining with RapidMiner5<br />RapidMiner introduces new concepts of transparent data handling and process modeling which eases process configuration for end users. <br />
  5. 5. Data Mining with RapidMiner5<br />Additionally clear interfaces and a sort of scripting language based on XML turns RapidMiner into an integrated developer environment for data mining and machine learning.<br />
  6. 6. Getting RapidMiner<br />1. Download RapidMiner from the link www.rapid-i.com<br />
  7. 7. Getting RapidMiner<br />
  8. 8. Getting RapidMiner<br />3. The download page: Download the file for your system<br />
  9. 9. Getting RapidMiner<br />4. Installing RapidMiner5:<br />Double click on the setup file and the wizard will direct you:<br />
  10. 10. Getting RapidMiner<br />Accept the license Agreement<br />
  11. 11. Getting RapidMiner<br />Specify the directory for your installation<br />
  12. 12. Getting RapidMiner<br />
  13. 13. Getting RapidMiner<br />Wait till the wizard prompts you that the installation is complete. Click Next. <br />
  14. 14. Getting RapidMiner<br />Click ‘Finish’<br />
  15. 15. Running RapidMiner5<br />Double click on the icon on your Desktop<br />
  16. 16. Memory Usage<br />Since performing complex data mining tasks and machine learning methods on huge data sets might need a lot of main memory, it might be that RapidMiner stops a running process with a note that the size of the main memory was not sufficient. <br />Java does not use the complete amount of available memory per default and memory must be explicitly allowed to be used by Java.<br />
  17. 17. Plugins<br />In order to install RapidMiner Plugins, it is sufficient to copy them to the lib/plugins subdirectory of the RapidMiner installation directory. RapidMiner scans all jar files in this directory.<br />Its also possible to make you own plugins for RapidMiner5! We shall learn about that in forthcoming tutorials.<br />
  18. 18. Supported file formats<br />RapidMiner can read a number of input les. Apart from data files it can read and write models, parameter sets and attribute sets.<br />
  19. 19. More Questions?<br />Reach us at support@dataminingtools.net<br />Visit: www.dataminingtools.net<br />