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...
Main Authors: | , , |
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Format: | Conference or Workshop Item |
Language: | English |
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2005
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Online Access: | 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 |
collection | UPM |
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. |
first_indexed | 2024-03-06T08:42:49Z |
format | Conference or Workshop Item |
id | upm.eprints-38980 |
institution | Universiti Putra Malaysia |
language | English |
last_indexed | 2024-03-06T08:42:49Z |
publishDate | 2005 |
record_format | dspace |
spelling | upm.eprints-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/38980/1/38980.pdf |
work_keys_str_mv | AT hamzahazizi discoveringassociationrulesforminingimagesdatasetsaproposal AT okrahmatrahmitawirza discoveringassociationrulesforminingimagesdatasetsaproposal AT sulaimanmdnasir discoveringassociationrulesforminingimagesdatasetsaproposal |