Beyond Concise and Coldkful: Lehming Intelligible Rules

نویسندگان

  • Michael J. Pazzani
  • Subramani Mani
  • W. Rodman Shankle
چکیده

A variety of techniques from statistics, signal processing, pattern recognition, machine learning, and neural networks have been proposed to understand data by discovering useful categories. However, research in data mining has not paid attention to the cognitive factors that make learned categories intelligible to human users. We ohnwr +hn+ _,.a Cnnte... the+ ;nfl.,nmnao thn ;ntczll;~.;h:l;+.r nf cu.” w UllaL “II-d lcLlrl.“l UlaL I,,IIUcII,~U,J LllU IIILtAII~,“IIICJ “I learned models is consistency with existing knowledge and describe a learning algorithm that creates concepts with this goal in mind.

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تاریخ انتشار 1999