UUM Repository | Universiti Utara Malaysian Institutional Repository
FAQs | Feedback | Search Tips | Sitemap

Effect of fuzzy discretization in the association performance with continuous attributes


Ahmad Azami, Nor Idayu and Yusoff, Nooraini and Ku-Mahamud, Ku Ruhana (2017) Effect of fuzzy discretization in the association performance with continuous attributes. In: International Conference on Computing and Informatics (ICOCI 2017), 25-27April, 2017, Kuala Lumpur. Universiti Utara Malaysia.

[img] PDF
Restricted to Registered users only

Download (925kB) | Request a copy

Abstract

Flood is one of the natural disasters caused by complex factors such as natural, breeding and environmental.The variability of such factors on multiple heterogeneous spatial scales may cause difficulties in finding correlation or association between regions.The interaction between these factors has resulted in provision of either diverse or repeated information which can be detrimental to prediction accuracy.The complex and diverse available database has triggered this study to incorporate multi source heterogeneous data source in finding association between regions.Bayesian Network based method has been used to quantify dependency patterns in spatial data.However, a group of variables may be relevant for a particular region but may not be relevant to other region.To overcome the weakness of Bayesian network in handling continuous variable, this study has proposed data discretization technique to produce spatial correlation model.The effect of the proposed fuzzy discretization on the association performance is investigated.The comparison between different data discretization techniques proved that the proposed fuzzy discretization method gives better result with high precision, good F-measure, and a better receiver operating characteristic area compared with other methods.The results of correlation between the spatial patterns gives detailed information that may help the government, planners, decision makers, and researchers to perform actions that help to prevent and mitigate flood events in the future.

Item Type: Conference or Workshop Item (Paper)
Additional Information: EISSN 2289-7402 E-ISBN 978-967-0910-33-8 Organized by: School of Computing, Universiti Utara Malaysia
Uncontrolled Keywords: spatial data mining, Bayesian network, fuzzy discretization
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: School of Computing
Depositing User: Dr. Nooraini Yusoff
Date Deposited: 26 Jul 2017 07:26
Last Modified: 26 Jul 2017 07:26
URI: http://repo.uum.edu.my/id/eprint/22787

Actions (login required)

View Item View Item