Feeding Data Mining

نویسندگان

  • Paolo Avesani
  • Emanuele Olivetti
  • Angelo Susi
چکیده

Data mining is a complex process that aims to derive an accurate predictive model starting from a collection of data. Traditional approaches assume that data are given in advance and their quality, size and structure are independent parameters. In this paper we argue that an extended vision of data mining should include the step of data acquisition as part of the overall process. Moreover the static view should be replaced by an evolving perspective that conceives the data mining as an iterative process where data acquisition and data analysis repeatedly

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تاریخ انتشار 2002