WLAR-Viz: Weighted least association rules visualization

Mining weighted least association rules has been an increasing demand in data mining research. However, mining these types of rules often facing with difficulties especially in identifying which rules are really interesting. One of the alternative solutions is by applying the visualization model in...

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Main Authors: Noraziah, Ahmad, Zailani, Abdullah, Herawan, Tutut, Mustafa, Mat Deris
Format: Conference or Workshop Item
Language:English
Published: Springer, Berlin, Heidelberg 2012
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/27027/
http://umpir.ump.edu.my/id/eprint/27027/1/WLAR-Viz-%20Weighted%20least%20association%20rules%20visualization.pdf
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author Noraziah, Ahmad
Zailani, Abdullah
Herawan, Tutut
Mustafa, Mat Deris
author_facet Noraziah, Ahmad
Zailani, Abdullah
Herawan, Tutut
Mustafa, Mat Deris
author_sort Noraziah, Ahmad
building UMP Institutional Repository
collection Online Access
description Mining weighted least association rules has been an increasing demand in data mining research. However, mining these types of rules often facing with difficulties especially in identifying which rules are really interesting. One of the alternative solutions is by applying the visualization model in those particular rules. In this paper, a model for visualizing weighted least association rules is proposed. The proposed model contains five main steps, including scanning dataset, constructing Least Pattern Tree (LP-Tree), applying Weighted Support Association Rules (WSAR*), capturing Weighted Least Association Rules (WELAR) and finally visualizing the respective rules. The results show that by using a three dimensional plots provide user friendly navigation to understand the weighted support and weighted least association rules.
first_indexed 2025-11-15T02:45:12Z
format Conference or Workshop Item
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institution Universiti Malaysia Pahang
institution_category Local University
language English
last_indexed 2025-11-15T02:45:12Z
publishDate 2012
publisher Springer, Berlin, Heidelberg
recordtype eprints
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spelling ump-270272020-03-23T03:20:21Z http://umpir.ump.edu.my/id/eprint/27027/ WLAR-Viz: Weighted least association rules visualization Noraziah, Ahmad Zailani, Abdullah Herawan, Tutut Mustafa, Mat Deris QA76 Computer software Mining weighted least association rules has been an increasing demand in data mining research. However, mining these types of rules often facing with difficulties especially in identifying which rules are really interesting. One of the alternative solutions is by applying the visualization model in those particular rules. In this paper, a model for visualizing weighted least association rules is proposed. The proposed model contains five main steps, including scanning dataset, constructing Least Pattern Tree (LP-Tree), applying Weighted Support Association Rules (WSAR*), capturing Weighted Least Association Rules (WELAR) and finally visualizing the respective rules. The results show that by using a three dimensional plots provide user friendly navigation to understand the weighted support and weighted least association rules. Springer, Berlin, Heidelberg 2012 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27027/1/WLAR-Viz-%20Weighted%20least%20association%20rules%20visualization.pdf Noraziah, Ahmad and Zailani, Abdullah and Herawan, Tutut and Mustafa, Mat Deris (2012) WLAR-Viz: Weighted least association rules visualization. In: 3rd International Conference on Information Computing and Applications (ICICA 2012) , 14-16 September 2012 , Chengde, China. pp. 592-599.. ISBN 978-3-642-34062-8 (Published) https://doi.org/10.1007/978-3-642-34062-8_77
spellingShingle QA76 Computer software
Noraziah, Ahmad
Zailani, Abdullah
Herawan, Tutut
Mustafa, Mat Deris
WLAR-Viz: Weighted least association rules visualization
title WLAR-Viz: Weighted least association rules visualization
title_full WLAR-Viz: Weighted least association rules visualization
title_fullStr WLAR-Viz: Weighted least association rules visualization
title_full_unstemmed WLAR-Viz: Weighted least association rules visualization
title_short WLAR-Viz: Weighted least association rules visualization
title_sort wlar-viz: weighted least association rules visualization
topic QA76 Computer software
url http://umpir.ump.edu.my/id/eprint/27027/
http://umpir.ump.edu.my/id/eprint/27027/
http://umpir.ump.edu.my/id/eprint/27027/1/WLAR-Viz-%20Weighted%20least%20association%20rules%20visualization.pdf