Data mining definitions

In the literature, the field of data mining can be found under several other terms. Below are examples of definition related to the field of data mining:

  • Machine Learning: “A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E.” (Mitchell, 1997)
  • Exploratory Data Analysis: “A philosophy of data analysis where the researcher examines the data without any pre-conceived ideas in order to discover what the data can tell him about the phenomena being studied.” (Martinez and Martinez, 2004)
  • Pattern Recognition: “Statistical pattern recognition is a term used to cover all stages of an investigation from problem formulation and data collection through to discrimination and classification, assessment of results and interpretation.” (Webb, 2002)
  • Data Mining: “Data mining is a technology that blends traditional data analysis methods with sophisticated algorithms for processing large volumes of data.” (Tan et al., 2006)
  • Knowledge Discovery: “[…] a new generation of techniques and tools with the ability to intelligently and automatically assists humans in analyzing the mountains of data for nuggets of useful knowledge.” (Fayyad et al., 1996)

Some of these definitions are technical while other are intuitive. Do you have other examples of such definitions or remarks about these ones? Feel free to comment.


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Comments Icon5 comments found on “Data mining definitions

  1. The most important:

    “Machine learning is statistics minus any checking of models and assumptions” (Prof. Ripley, Oxford University – UK).

  2. Daniele, thanks for the nice definition. Will, thanks for the link. It seems interesting, so I will read it soon.

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