Evaluation of the effectiveness of clustering algorithm in retrieving Malay documents / Aminah Mahmood

In recent years, we have witnessed a tremendous growth in the volume of text documents available on the Internet, digital libraries, new sources and company-wide intranets. This has led to an increased interest in developing methods that can help users to effectively navigate, summarize and organ...

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Main Author:	Mahmood, Aminah
Format:	Thesis
Language:	English
Published:	2004
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://ir.uitm.edu.my/id/eprint/1370/ http://ir.uitm.edu.my/id/eprint/1370/1/TB_AMINAH%20MAHMOOD%20AP%2004_5%20P01.pdf

id	uitm-1370
recordtype	eprints
spelling	uitm-13702019-03-22T06:58:59Z http://ir.uitm.edu.my/id/eprint/1370/ Evaluation of the effectiveness of clustering algorithm in retrieving Malay documents / Aminah Mahmood Mahmood, Aminah QA75 Electronic computers. Computer science In recent years, we have witnessed a tremendous growth in the volume of text documents available on the Internet, digital libraries, new sources and company-wide intranets. This has led to an increased interest in developing methods that can help users to effectively navigate, summarize and organize this information with the ultimate goal of helping them to find what they are looking for. The main issue in this information age is the efficiency and effectiveness of the retrieval system that can be used by the information provider. A good retrieval system should provide tools to perform searching accurately based on user requirements. Cluster analysis is a technique for multivariate analysis that assigns items to automatically created group based on a calculation of the degrees of association between items and groups. In the information retrieval (IR) field, cluster analysis has been used to create groups of documents with the goal of improving the efficiency and effectiveness of retrieval, or to determine the structure of the literature of a field. The IR community has explored docimient clustering as an alternative method of organizing retrieval results, but clustering has yet to be deployed on the major search engines. This study has evaluated and identified the effectiveness of clustering algorithm in Malay document retrieval system using Hadith test collections, which consists of Hadith documents, relevant judgments and one set of queries. Three types of experiments are conducted. First experiment use exact match, which is no method, is applied. Second experiment use stenmiing method. Finally, the last experiment uses combination of stemming and clustering methods. 2004 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/1370/1/TB_AMINAH%20MAHMOOD%20AP%2004_5%20P01.pdf Mahmood, Aminah (2004) Evaluation of the effectiveness of clustering algorithm in retrieving Malay documents / Aminah Mahmood. Degree thesis, Universiti Teknologi MARA.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Mahmood, Aminah Evaluation of the effectiveness of clustering algorithm in retrieving Malay documents / Aminah Mahmood
description	In recent years, we have witnessed a tremendous growth in the volume of text documents available on the Internet, digital libraries, new sources and company-wide intranets. This has led to an increased interest in developing methods that can help users to effectively navigate, summarize and organize this information with the ultimate goal of helping them to find what they are looking for. The main issue in this information age is the efficiency and effectiveness of the retrieval system that can be used by the information provider. A good retrieval system should provide tools to perform searching accurately based on user requirements. Cluster analysis is a technique for multivariate analysis that assigns items to automatically created group based on a calculation of the degrees of association between items and groups. In the information retrieval (IR) field, cluster analysis has been used to create groups of documents with the goal of improving the efficiency and effectiveness of retrieval, or to determine the structure of the literature of a field. The IR community has explored docimient clustering as an alternative method of organizing retrieval results, but clustering has yet to be deployed on the major search engines. This study has evaluated and identified the effectiveness of clustering algorithm in Malay document retrieval system using Hadith test collections, which consists of Hadith documents, relevant judgments and one set of queries. Three types of experiments are conducted. First experiment use exact match, which is no method, is applied. Second experiment use stenmiing method. Finally, the last experiment uses combination of stemming and clustering methods.
format	Thesis
author	Mahmood, Aminah
author_facet	Mahmood, Aminah
author_sort	Mahmood, Aminah
title	Evaluation of the effectiveness of clustering algorithm in retrieving Malay documents / Aminah Mahmood
title_short	Evaluation of the effectiveness of clustering algorithm in retrieving Malay documents / Aminah Mahmood
title_full	Evaluation of the effectiveness of clustering algorithm in retrieving Malay documents / Aminah Mahmood
title_fullStr	Evaluation of the effectiveness of clustering algorithm in retrieving Malay documents / Aminah Mahmood
title_full_unstemmed	Evaluation of the effectiveness of clustering algorithm in retrieving Malay documents / Aminah Mahmood
title_sort	evaluation of the effectiveness of clustering algorithm in retrieving malay documents / aminah mahmood
publishDate	2004
url	http://ir.uitm.edu.my/id/eprint/1370/ http://ir.uitm.edu.my/id/eprint/1370/1/TB_AMINAH%20MAHMOOD%20AP%2004_5%20P01.pdf
first_indexed	2023-09-18T22:45:44Z
last_indexed	2023-09-18T22:45:44Z
_version_	1777417212394471424

Evaluation of the effectiveness of clustering algorithm in retrieving Malay documents / Aminah Mahmood

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