Capturing uncertainty in associative classification model

Yun Huoy Choo, Azuraliza Abu Bakar, Azah Kamilah Muda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper aims to propose a weighted linguistic associative classification model for uncertainty data analysis using rough membership function. Transformation of quantitative association rules into linguistic representation can be achieved in discretizing the numerical interval into rough interval described with respective rough membership values. Transformation of linguistic information system is suggested prior to the frequent pattern discovery. Neither pruning of association rules nor classifier modelling is needed. The rough membership values of the each linguistic frequent item are composited to form the weighted associative classification rule. Simulated results on Iris Plant dataset were shown in the paper. The future work of the research will focus on implementing the model with more experimental dataset.

Original languageEnglish
Title of host publication2009 2nd Conference on Data Mining and Optimization, DMO 2009
Pages84-89
Number of pages6
DOIs
Publication statusPublished - 2009
Event2009 2nd Conference on Data Mining and Optimization, DMO 2009 - Bangi, Selangor
Duration: 27 Oct 200928 Oct 2009

Other

Other2009 2nd Conference on Data Mining and Optimization, DMO 2009
CityBangi, Selangor
Period27/10/0928/10/09

Fingerprint

Linguistics
Association rules
Membership functions
Information systems
Classifiers
Uncertainty

Keywords

  • Associative classification
  • Rough membership function
  • Rough set theory
  • Uncertainty

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Software

Cite this

Choo, Y. H., Abu Bakar, A., & Muda, A. K. (2009). Capturing uncertainty in associative classification model. In 2009 2nd Conference on Data Mining and Optimization, DMO 2009 (pp. 84-89). [5341904] https://doi.org/10.1109/DMO.2009.5341904

Capturing uncertainty in associative classification model. / Choo, Yun Huoy; Abu Bakar, Azuraliza; Muda, Azah Kamilah.

2009 2nd Conference on Data Mining and Optimization, DMO 2009. 2009. p. 84-89 5341904.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Choo, YH, Abu Bakar, A & Muda, AK 2009, Capturing uncertainty in associative classification model. in 2009 2nd Conference on Data Mining and Optimization, DMO 2009., 5341904, pp. 84-89, 2009 2nd Conference on Data Mining and Optimization, DMO 2009, Bangi, Selangor, 27/10/09. https://doi.org/10.1109/DMO.2009.5341904
Choo YH, Abu Bakar A, Muda AK. Capturing uncertainty in associative classification model. In 2009 2nd Conference on Data Mining and Optimization, DMO 2009. 2009. p. 84-89. 5341904 https://doi.org/10.1109/DMO.2009.5341904
Choo, Yun Huoy ; Abu Bakar, Azuraliza ; Muda, Azah Kamilah. / Capturing uncertainty in associative classification model. 2009 2nd Conference on Data Mining and Optimization, DMO 2009. 2009. pp. 84-89
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