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논문검색

A Model for Visualizing Critical Least Association Rules

초록

영어

Mining least association rules has received a great attention from the past decades. However, no current research has been specifically performed for visualizing these types of rules. In this paper, a model for visualizing critical least association rules is presented. The proposed model contains five main steps, including scanning dataset, constructing Least Pattern Tree (LP-Tree), applying Critical Relative Support (CRS), capturing Critical Least Association Rules and finally visualizing the respective rules.

목차

Abstract
 1. Introduction
 2. Related Works
 3. Proposed Method
  3.1. Association Rules
  3.2. Definition
  3.3. Model
  3.4. Algorithm Development
 4. Experimental Results
  4.1. A Dataset from [7]
  4.2. Student Examination Dataset
 5. Conclusion
 References

저자정보

  • Zailani Abdullah Department of Computer Science Universiti Malaysia Terengganu 21030 Kuala Terengganu, Terengganu, Malaysia
  • Tutut Herawan Department of Mathematics Education Universitas Ahmad Dahlan Jalan Prof Dr Soepomo 55166, Yogyakarta, Indonesia
  • A. Noraziah Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Lebuhraya Tun Razak, 26300 Kuantan, Pahang, Malaysia
  • Mustafa Mat Deris Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Parit Raja, Batu Pahat 86400, Johor, Malaysia

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