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Browsing Machine Learning and Inference Laboratory, College of Health and Human Services by Subject "inductive databases"

Browsing Machine Learning and Inference Laboratory, College of Health and Human Services by Subject "inductive databases"

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  • Michalski, Ryszard S.; Kaufman, Kenneth A. (2000)
    Knowledge scouts are software agents that autonomously search for and synthesize user-oriented knowledge (target knowledge) in large local or distributed databases. A knowledge generation metalanguage, KGL, is used to ...
  • Kaufman, Kenneth A.; Michalski, Ryszard S. (2004-10)
    In view of the tremendous production of computer data worldwide, there is a strong need for new powerful tools that can automatically generate useful knowledge from a variety of data, and present it in human-oriented forms. ...
  • Cervone, Guido; Michalski, Ryszard S. (2002-06)
    The paper describes recent results from developing and testing LUS methodology for user modeling. LUS employs AQ learning for automatically creating user models from datasets representing activities of computer users. The ...
  • Śnieżyński, Bartłomiej; Michalski, Ryszard S. (2005-06)
    Decision trees and rules are completing methods of knowledge representation. Both have advantages in some applications. Algorithms that convert trees to rules are common. In the paper an algorithm that converts rules to ...

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