By Mamdouh Refaat

Are you a knowledge mining analyst, who spends as much as eighty% of it slow assuring info caliber, then getting ready that information for constructing and deploying predictive types? And do you discover plenty of literature on facts mining conception and ideas, but if it involves functional recommendation on constructing reliable mining perspectives locate little “how to” details? And are you, like so much analysts, getting ready the information in SAS?

This booklet is meant to fill this hole as your resource of useful recipes. It introduces a framework for the method of information instruction for facts mining, and offers the specified implementation of every step in SAS. moreover, enterprise functions of knowledge mining modeling require you to accommodate a great number of variables, often hundreds of thousands if no longer hundreds of thousands. as a result, the e-book devotes numerous chapters to the tools of information transformation and variable selection.

  • A entire framework for the knowledge coaching method, together with implementation info for every step.
  • The entire SAS implementation code, that's quite simply usable through specialist analysts and information miners.
  • A detailed and complete strategy for the remedy of lacking values, optimum binning, and cardinality reduction.
  • Assumes minimum skillability in SAS and contains a quick-start bankruptcy on writing SAS macros.

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