Supervised fuzzy clustering based initialization of fuzzy partitions for decision tree induction

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

Abstract

The generation of highly precise and interpretable models is the most frequent task of data mining. The interpretability of models and the nature of learning algorithms require effectively discretized (partitioned) features. Fuzzy partitioning of continuous features can increase the flexibility of the classifier since it has the ability to model fine knowledge details. Decision tree and rule induction methods often relay on a priori discretized (partitioned) continuous features. However, advantages of the supervised and fuzzy discretization of attributes have not yet been shown. This paper includes such study and proposes supervised clustering algorithm for providing informative input information for decision tree induction algorithms.

Original languageEnglish
Title of host publicationAdvances in Intelligent and Soft Computing
Pages31-39
Number of pages9
Volume75
DOIs
Publication statusPublished - 2010

Publication series

NameAdvances in Intelligent and Soft Computing
Volume75
ISSN (Print)18675662
ISSN (Electronic)18600794

Fingerprint

Fuzzy clustering
Decision trees
Clustering algorithms
Learning algorithms
Data mining
Classifiers

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Abonyi, J. (2010). Supervised fuzzy clustering based initialization of fuzzy partitions for decision tree induction. In Advances in Intelligent and Soft Computing (Vol. 75, pp. 31-39). (Advances in Intelligent and Soft Computing; Vol. 75). https://doi.org/10.1007/978-3-642-11282-9_4

Supervised fuzzy clustering based initialization of fuzzy partitions for decision tree induction. / Abonyi, J.

Advances in Intelligent and Soft Computing. Vol. 75 2010. p. 31-39 (Advances in Intelligent and Soft Computing; Vol. 75).

Research output: Chapter in Book/Report/Conference proceedingChapter

Abonyi, J 2010, Supervised fuzzy clustering based initialization of fuzzy partitions for decision tree induction. in Advances in Intelligent and Soft Computing. vol. 75, Advances in Intelligent and Soft Computing, vol. 75, pp. 31-39. https://doi.org/10.1007/978-3-642-11282-9_4
Abonyi J. Supervised fuzzy clustering based initialization of fuzzy partitions for decision tree induction. In Advances in Intelligent and Soft Computing. Vol. 75. 2010. p. 31-39. (Advances in Intelligent and Soft Computing). https://doi.org/10.1007/978-3-642-11282-9_4
Abonyi, J. / Supervised fuzzy clustering based initialization of fuzzy partitions for decision tree induction. Advances in Intelligent and Soft Computing. Vol. 75 2010. pp. 31-39 (Advances in Intelligent and Soft Computing).
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