Discovering association rules for mining images datasets: a proposal

Our focus for data mining in this paper is concerned with knowledge discovery in image databases. The Author present a data mining algorithm to find association rules in 2-dimensional colour images. The algorithm has four major steps: feature extraction, object identification, auxiliary image creati...

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Main Authors: Hamzah, Azizi, O. K. Rahmat, Rahmita Wirza, Sulaiman, Md. Nasir
Format: Conference or Workshop Item
Language:English
Published: 2005
Online Access:http://psasir.upm.edu.my/id/eprint/38980/
http://psasir.upm.edu.my/id/eprint/38980/1/38980.pdf
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author Hamzah, Azizi
O. K. Rahmat, Rahmita Wirza
Sulaiman, Md. Nasir
author_facet Hamzah, Azizi
O. K. Rahmat, Rahmita Wirza
Sulaiman, Md. Nasir
author_sort Hamzah, Azizi
building UPM Institutional Repository
collection Online Access
description Our focus for data mining in this paper is concerned with knowledge discovery in image databases. The Author present a data mining algorithm to find association rules in 2-dimensional colour images. The algorithm has four major steps: feature extraction, object identification, auxiliary image creation and object mining. A synthetic image set containing geometric shapes will generate to test the initial algorithm implementation. The experiments results show that there is promise in image mining based on content. Finally, the association rules will determine using an adaptation of the Apriori Algorithm. The proposed approach is applied to an image datasets to demonstrate the kinds of knowledge and association rules to discover interesting patterns and new knowledge. The Author analyse the reasons for discrepancies. And it also suggests directions for future work.
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format Conference or Workshop Item
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institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T09:43:46Z
publishDate 2005
recordtype eprints
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spelling upm-389802018-10-25T06:33:12Z http://psasir.upm.edu.my/id/eprint/38980/ Discovering association rules for mining images datasets: a proposal Hamzah, Azizi O. K. Rahmat, Rahmita Wirza Sulaiman, Md. Nasir Our focus for data mining in this paper is concerned with knowledge discovery in image databases. The Author present a data mining algorithm to find association rules in 2-dimensional colour images. The algorithm has four major steps: feature extraction, object identification, auxiliary image creation and object mining. A synthetic image set containing geometric shapes will generate to test the initial algorithm implementation. The experiments results show that there is promise in image mining based on content. Finally, the association rules will determine using an adaptation of the Apriori Algorithm. The proposed approach is applied to an image datasets to demonstrate the kinds of knowledge and association rules to discover interesting patterns and new knowledge. The Author analyse the reasons for discrepancies. And it also suggests directions for future work. 2005 Conference or Workshop Item NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/38980/1/38980.pdf Hamzah, Azizi and O. K. Rahmat, Rahmita Wirza and Sulaiman, Md. Nasir (2005) Discovering association rules for mining images datasets: a proposal. In: International Advanced Technology Congress: Conference on Computer Integrated Systems, 6-8 Dec. 2005, Putrajaya, Malaysia. (pp. 1-10).
spellingShingle Hamzah, Azizi
O. K. Rahmat, Rahmita Wirza
Sulaiman, Md. Nasir
Discovering association rules for mining images datasets: a proposal
title Discovering association rules for mining images datasets: a proposal
title_full Discovering association rules for mining images datasets: a proposal
title_fullStr Discovering association rules for mining images datasets: a proposal
title_full_unstemmed Discovering association rules for mining images datasets: a proposal
title_short Discovering association rules for mining images datasets: a proposal
title_sort discovering association rules for mining images datasets: a proposal
url http://psasir.upm.edu.my/id/eprint/38980/
http://psasir.upm.edu.my/id/eprint/38980/1/38980.pdf