What are the techniques used in data mining?

Now that we have a sense of where data mining fits in our overall KDD or data science process, we can start to discuss the details of how to get it done.

Since the early days of attempting to define data mining, several broad classes of relevant problems consistently show up again and again. Fayyad et al. name six classes of problems in another important 1996 paper (From Data Mining to Knowledge Discovery in Databases), which we can summarize as follows:

  • Classification problems: Here, we have data that needs to be divided into predefined classes, based on some features of the data. We need an algorithm that can use previously classified data to learn how to put unknown data into the correct class.
  • Clustering ...

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