Evolutionary fuzzy rule extraction for subgroup discovery in a psychiatric emergency department-Reference-Cited by-同舟云学术

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Evolutionary fuzzy rule extraction for subgroup discovery in a psychiatric emergency department

Published:2010-11-20 Issue:12 Volume:15 Page:2435-2448
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Carmona C. J.,González P.,del Jesus M. J.,Navío-Acosta M.,Jiménez-Trevino L.

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-010-0670-3.pdf

Reference62 articles.

1. Agrawal R, Imieliski T, Swami A (1993) Mining association rules between sets of items in large databases. In: Proceedings of the 1993 ACM SIGMOD international conference on management of data. ACM Press, pp 207–216

2. Aguilar-Ruiz J, Costa R, Divina F (2004) Knowledge discovery from doctor–patient relationship. In: Proceedings of the ACM symposium on applied computing, vol 1, pp 280–284

3. Ainon R, Lahsasna A, Wah T (2009) A transparent classification model using a hybrid soft computing method. In: AMS, pp 146–151

4. Alcalá-Fdez J, Alcalá R, Gacto MJ, Herrera F (2009) Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms. Fuzzy Sets Syst 160(7):905–921

5. Alhajj R, Kaya M (2008) Multi-objective genetic algorithms based automated clustering for fuzzy association rules mining. J Intell Inform Syst 31(3):243–264

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