Universiti Teknologi Malaysia Institutional Repository

Discovering knowledge of association using coherent rules

Tze, Alex Hiang Sim and Zutshi, Samar and Indrawan, Maria and Srinivasan, Bala (2009) Discovering knowledge of association using coherent rules. In: Trends in Communication Technologies & Engineering Science. Springer, Netherlands, pp. 323-334. ISBN 978-1-4020-9492-7

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Mining of association rules is of interest to data miners. Typically, before association rules are mined, a user needs to determine a support threshold in order to obtain only the frequent item sets. Having users to determine a support threshold attracts a number of issues. We propose an association rule mining framework that does not require a pre-set support threshold. The framework is developed based on implication of propositional logic. The experiments show that our approach is able to identify meaningful association rules.

Item Type:Book Section
Subjects:H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions:Computer Science and Information System
ID Code:14462
Deposited By: Siti Khairiyah Nordin
Deposited On:26 Aug 2011 08:30
Last Modified:10 Aug 2017 01:25

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