Learning from Examples Module (LEM) Rule Induction Algorithm

A Learning from Examples Module (LEM) Rule Induction Algorithm is rule Rule Induction Algorithm that can learn a rule set from training examples.

• AKA: LEM Induction Algorithm.
• Context:
  • It usually implemented by LEM Induction System to solve a LEM Induction Task.
• Example(s):
  • LEM1 Algorithm,
  • LEM2 Algrotihm,
  • DomLEM Algorithm,
  • ELEM Algorithm,
  • LERS Algorithm,
  • MLEM2 Algorithm
  • MODLEM Algorithm,
• Counter-Example(s):
  • CN2 Algorithm,
  • FINDBESTRULE Algorithm,
  • FOIL Algorithm,
  • FURIA Algorithm,
  • PROGOL Algorithm,
  • RIPPER Algorithm,
  • Rulearner Alogrithm,
  • RULEX Algorithm.
• See: Pattern Mining Algorithm, Decision Tree Induction Algorithm, Inductive Logic Programming, If-Then Rule, Firs-Order Logic Rule.

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References

2001

• (Grzymala‐Busse & Stefanowski, 2001) ⇒ Jerzy W. Grzymala-Busse, and Jerzy Stefanowski(2001). "Three Discretization Methods For Rule Induction". Proceedings of the International Journal of Intelligent Systems, 16(1), 29-38.

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