Fuzzy methods in machine learning and data mining: Status and prospects

@article{Hllermeier2005FuzzyMI,
  title={Fuzzy methods in machine learning and data mining: Status and prospects},
  author={Eyke H{\"u}llermeier},
  journal={Fuzzy Sets and Systems},
  year={2005},
  volume={156},
  pages={387-406}
}
Over the past years, methods for the automated induction of models and the extraction of interesting patterns from empirical data have attracted considerable attention in the fuzzy set community. This paper briefly reviews some typical applications and highlights potential contributions that fuzzy set theory can make to machine learning, data mining, and related fields. The paper concludes with a critical consideration of recent developments and some suggestions for future research directions… CONTINUE READING

From This Paper

Topics from this paper.
74 Citations
64 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 74 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 64 references

A method for combining interacting pieces of evidence in case - based learning

  • I. Renners E. Hüllermeier, A. Grauel
  • Proceedings IJCAI – 05 , 19 th International…
  • 2005

Examples

  • T. Sudkamp
  • counterexamples, and measuring fuzzy associations…
  • 2005
1 Excerpt

Overview of fuzzy associations mining

  • G. Chen, Q. Wei, E. Kerre, G. Wets
  • in: Proc. ISIS-2003, Fourth International…
  • 2005
1 Excerpt

Measures of information for inductive learning

  • TH. Dang, B. Bouchon-Meunier, C. Marsala
  • in: Proc. IPMU-2004, Perugia, Italy
  • 2004
1 Excerpt

Similar Papers

Loading similar papers…