Cover Image

Document clustering: comparison of ward's clustering and Kohonen network performance / Noor Suriana Abu Bakar and Nurul Nisa Mohd Nasir

Document clustering has been investigated for use in a number of different areas of information retrieval. The aimed of research in the field is to improve efficiency and effectiveness of retrieval. Since the clusters perform best quality, Hierarchical clustering is most commonly used in document cl...

Full description

Saved in:
Bibliographic Details
Main Authors: Abu Bakar, Noor Suriana, Mohd Nasir, Nurul Nisa
Format: Research Reports
Language:English
Published: 2010
Subjects:
Information filtering systems
Electronic information resources
Online Access:http://ir.uitm.edu.my/id/eprint/42623/1/42623.pdf
http://ir.uitm.edu.my/id/eprint/42623/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uitm.ir.42623
record_format eprints
spelling my.uitm.ir.426232021-03-05T03:24:03Z http://ir.uitm.edu.my/id/eprint/42623/ Document clustering: comparison of ward's clustering and Kohonen network performance / Noor Suriana Abu Bakar and Nurul Nisa Mohd Nasir Abu Bakar, Noor Suriana Mohd Nasir, Nurul Nisa Information filtering systems Electronic information resources Document clustering has been investigated for use in a number of different areas of information retrieval. The aimed of research in the field is to improve efficiency and effectiveness of retrieval. Since the clusters perform best quality, Hierarchical clustering is most commonly used in document clustering. Recently, there exist researches that apply NN in IR. However, research in NN based document clustering still less frequent. Therefore, this study will apply hierarchical based document clustering and NN based document clustering in terms of suggestion supervisor and examiner for thesis. The results from these two techniques will then compare with manual system to find out whether hierarchical based or NN based performed better. The collection of theses will be used and employed the pre-processing including stop word removal and stemming further measure the document similarity before apply the clustering techniques. The result will give some insight whether NN is better for suggestion supervisor and examiner. 2010 Research Reports NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/42623/1/42623.pdf Abu Bakar, Noor Suriana and Mohd Nasir, Nurul Nisa (2010) Document clustering: comparison of ward's clustering and Kohonen network performance / Noor Suriana Abu Bakar and Nurul Nisa Mohd Nasir. [Research Reports] (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Information filtering systems
Electronic information resources
spellingShingle Information filtering systems
Electronic information resources
Abu Bakar, Noor Suriana
Mohd Nasir, Nurul Nisa
Document clustering: comparison of ward's clustering and Kohonen network performance / Noor Suriana Abu Bakar and Nurul Nisa Mohd Nasir
description Document clustering has been investigated for use in a number of different areas of information retrieval. The aimed of research in the field is to improve efficiency and effectiveness of retrieval. Since the clusters perform best quality, Hierarchical clustering is most commonly used in document clustering. Recently, there exist researches that apply NN in IR. However, research in NN based document clustering still less frequent. Therefore, this study will apply hierarchical based document clustering and NN based document clustering in terms of suggestion supervisor and examiner for thesis. The results from these two techniques will then compare with manual system to find out whether hierarchical based or NN based performed better. The collection of theses will be used and employed the pre-processing including stop word removal and stemming further measure the document similarity before apply the clustering techniques. The result will give some insight whether NN is better for suggestion supervisor and examiner.
format Research Reports
author Abu Bakar, Noor Suriana
Mohd Nasir, Nurul Nisa
author_facet Abu Bakar, Noor Suriana
Mohd Nasir, Nurul Nisa
author_sort Abu Bakar, Noor Suriana
title Document clustering: comparison of ward's clustering and Kohonen network performance / Noor Suriana Abu Bakar and Nurul Nisa Mohd Nasir
title_short Document clustering: comparison of ward's clustering and Kohonen network performance / Noor Suriana Abu Bakar and Nurul Nisa Mohd Nasir
title_full Document clustering: comparison of ward's clustering and Kohonen network performance / Noor Suriana Abu Bakar and Nurul Nisa Mohd Nasir
title_fullStr Document clustering: comparison of ward's clustering and Kohonen network performance / Noor Suriana Abu Bakar and Nurul Nisa Mohd Nasir
title_full_unstemmed Document clustering: comparison of ward's clustering and Kohonen network performance / Noor Suriana Abu Bakar and Nurul Nisa Mohd Nasir
title_sort document clustering: comparison of ward's clustering and kohonen network performance / noor suriana abu bakar and nurul nisa mohd nasir
publishDate 2010
url http://ir.uitm.edu.my/id/eprint/42623/1/42623.pdf
http://ir.uitm.edu.my/id/eprint/42623/
_version_ 1693728898971336704
score 13.211869

Similar Items