A hybrid model of hierarchical clustering and decision tree for rule-based classification of diabetic patients.

Hybrid models in data mining have recently gained attention including in the study of medical research. Various studies in this domain using hybrid models have shown different results. This paper presents the new hybrid model by exploring Agglomerative Hierarchical Clustering and Decision Tree Class...

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Main Authors: Ibrahim, Norul Hidayah, Mustapha, Aida, Rosli, Rozilah, Helmee, Nurdhiya Hazwani
Format: Article
Language:English
English
Published: Engg Journals Publications 2013
Online Access:http://psasir.upm.edu.my/id/eprint/30685/
http://psasir.upm.edu.my/id/eprint/30685/1/A%20hybrid%20model%20of%20hierarchical%20clustering%20and%20decision%20tree%20for%20rule.pdf
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author Ibrahim, Norul Hidayah
Mustapha, Aida
Rosli, Rozilah
Helmee, Nurdhiya Hazwani
author_facet Ibrahim, Norul Hidayah
Mustapha, Aida
Rosli, Rozilah
Helmee, Nurdhiya Hazwani
author_sort Ibrahim, Norul Hidayah
building UPM Institutional Repository
collection Online Access
description Hybrid models in data mining have recently gained attention including in the study of medical research. Various studies in this domain using hybrid models have shown different results. This paper presents the new hybrid model by exploring Agglomerative Hierarchical Clustering and Decision Tree Classifier on Pima Indians Diabetes dataset. The experiments compared performance accuracy of the Decision Tree Classifier against the same classifier augmented with Hierarchical Clustering. Results showed that the hybrid model achieved higher accuracy with 80.8% as compared to 76.9% of the standard model. This is a promising result for adoption of hierarchical clustering in a rule-based classifier.
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institution Universiti Putra Malaysia
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language English
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last_indexed 2025-11-15T09:07:38Z
publishDate 2013
publisher Engg Journals Publications
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spelling upm-306852015-09-21T03:50:23Z http://psasir.upm.edu.my/id/eprint/30685/ A hybrid model of hierarchical clustering and decision tree for rule-based classification of diabetic patients. Ibrahim, Norul Hidayah Mustapha, Aida Rosli, Rozilah Helmee, Nurdhiya Hazwani Hybrid models in data mining have recently gained attention including in the study of medical research. Various studies in this domain using hybrid models have shown different results. This paper presents the new hybrid model by exploring Agglomerative Hierarchical Clustering and Decision Tree Classifier on Pima Indians Diabetes dataset. The experiments compared performance accuracy of the Decision Tree Classifier against the same classifier augmented with Hierarchical Clustering. Results showed that the hybrid model achieved higher accuracy with 80.8% as compared to 76.9% of the standard model. This is a promising result for adoption of hierarchical clustering in a rule-based classifier. Engg Journals Publications 2013-01-01 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/30685/1/A%20hybrid%20model%20of%20hierarchical%20clustering%20and%20decision%20tree%20for%20rule.pdf Ibrahim, Norul Hidayah and Mustapha, Aida and Rosli, Rozilah and Helmee, Nurdhiya Hazwani (2013) A hybrid model of hierarchical clustering and decision tree for rule-based classification of diabetic patients. International Journal of Engineering and Technology, 5 (5). pp. 3986-3991. ISSN 2319-8613; ESSN: 0975-4024 http://www.enggjournals.com/ijet/vol5issue5.html English
spellingShingle Ibrahim, Norul Hidayah
Mustapha, Aida
Rosli, Rozilah
Helmee, Nurdhiya Hazwani
A hybrid model of hierarchical clustering and decision tree for rule-based classification of diabetic patients.
title A hybrid model of hierarchical clustering and decision tree for rule-based classification of diabetic patients.
title_full A hybrid model of hierarchical clustering and decision tree for rule-based classification of diabetic patients.
title_fullStr A hybrid model of hierarchical clustering and decision tree for rule-based classification of diabetic patients.
title_full_unstemmed A hybrid model of hierarchical clustering and decision tree for rule-based classification of diabetic patients.
title_short A hybrid model of hierarchical clustering and decision tree for rule-based classification of diabetic patients.
title_sort hybrid model of hierarchical clustering and decision tree for rule-based classification of diabetic patients.
url http://psasir.upm.edu.my/id/eprint/30685/
http://psasir.upm.edu.my/id/eprint/30685/
http://psasir.upm.edu.my/id/eprint/30685/1/A%20hybrid%20model%20of%20hierarchical%20clustering%20and%20decision%20tree%20for%20rule.pdf