Experimental design

نویسندگان

  • J. P. Morgan
  • Xinwei Deng
چکیده

Maximizing data information requires careful selection, termed design, of the points at which data are observed. Experimental design is reviewed here for broad classes of data collection and analysis problems, including: fractioning techniques based on orthogonal arrays, Latin hypercube designs and their variants for computer experimentation, efficient design for data mining and machine learning applications, and sequential design for active learning. C © 2012 Wiley Periodicals, Inc.

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عنوان ژورنال:
  • Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery

دوره 2  شماره 

صفحات  -

تاریخ انتشار 2012