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Exploring Data with RapidMiner by Andrew Chisholm

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Chapter 1. Setting the Scene

You have data, you know it has hidden value, and you want to mine it. The problem is you're a bit stuck.

The data you have could be anything and you have a lot of it. It is probably from where you work, and you are probably very knowledgeable about how it is gathered, how to interpret it, and what it means. You may also know a domain expert to whom you can turn for additional expertise.

You also have more than a passing knowledge of data mining and you have spent a short time becoming familiar with RapidMiner to perform data mining activities, such as clustering, classification, and regression. You know well that mining data is not just a case of using a spreadsheet to draw a few graphs and pie charts; there is much ...

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