Effect of fuzzy discretization in the association performance with continuous attributes
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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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2017
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| Online Access: | https://repo.uum.edu.my/id/eprint/22787/1/KMICE%202017%2029-36.pdf |
| _version_ | 1803628432018374656 |
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| author | Ahmad Azami, Nor Idayu Yusoff, Nooraini Ku-Mahamud, Ku Ruhana |
| author_facet | Ahmad Azami, Nor Idayu Yusoff, Nooraini Ku-Mahamud, Ku Ruhana |
| author_sort | Ahmad Azami, Nor Idayu |
| collection | UUM |
| description | 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. |
| first_indexed | 2024-07-04T06:21:51Z |
| format | Conference or Workshop Item |
| id | uum-22787 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:21:51Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | uum-227872017-07-26T07:26:19Z https://repo.uum.edu.my/id/eprint/22787/ Effect of fuzzy discretization in the association performance with continuous attributes Ahmad Azami, Nor Idayu Yusoff, Nooraini Ku-Mahamud, Ku Ruhana QA75 Electronic computers. Computer science 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. 2017-04-25 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/22787/1/KMICE%202017%2029-36.pdf 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. http://icoci.cms.net.my/PROCEEDINGS/2017/Pdf_Version_Chap01e/PID89-29-36e.pdf |
| spellingShingle | QA75 Electronic computers. Computer science Ahmad Azami, Nor Idayu Yusoff, Nooraini Ku-Mahamud, Ku Ruhana Effect of fuzzy discretization in the association performance with continuous attributes |
| title | Effect of fuzzy discretization in the association performance with continuous attributes |
| title_full | Effect of fuzzy discretization in the association performance with continuous attributes |
| title_fullStr | Effect of fuzzy discretization in the association performance with continuous attributes |
| title_full_unstemmed | Effect of fuzzy discretization in the association performance with continuous attributes |
| title_short | Effect of fuzzy discretization in the association performance with continuous attributes |
| title_sort | effect of fuzzy discretization in the association performance with continuous attributes |
| topic | QA75 Electronic computers. Computer science |
| url | https://repo.uum.edu.my/id/eprint/22787/1/KMICE%202017%2029-36.pdf |
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