Log in
Language:

MERAL Myanmar Education Research and Learning Portal

  • Top
  • Universities
  • Ranking
To
lat lon distance
To

Field does not validate



Index Link

Index Tree

Please input email address.

WEKO

One fine body…

WEKO

One fine body…

Item

{"_buckets": {"deposit": "84eb6781-00e2-47e7-837e-f13061e56a45"}, "_deposit": {"id": "4821", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4821"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4821", "sets": ["1597824273898", "user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Information Retrieval System Using Divisive Hierarchical Clustering Technique", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Today, various types of vast amount of information have been publishing on the World Wide Web. To discover and meet user information needs, the use of document clustering in information retrieval system is necessarily demanded. So, this paper presents information retrieval system using divisive hierarchical clustering technique. We use a hierarchical clustering method that groups similar documents into clusters and efficient search algorithms that optimizes the visited nodes when searching the similar documents. The main objective of search result clustering is to help the users to identify the documents of interest more quickly. The aim of the clustering is to determine the intrinsic grouping in a set of unlabeled data. Information retrieval systems provide useful information in libraries to researchers. Information retrieval is an important and major component of the Internet and the Web in the information age and should play an important role in knowledge discovery."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "clustering"}, {"interim": "information retrieval system"}, {"interim": "knowledge discovery"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value": []}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Eleventh International Conference On Computer Applications (ICCA 2013)", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Thein, Khin Me Me"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2013-02-26"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/721"}, "item_title": "Information Retrieval System Using Divisive Hierarchical Clustering Technique", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004821", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-11"}, "publish_date": "2019-07-11", "publish_status": "0", "recid": "4821", "relation": {}, "relation_version_is_last": true, "title": ["Information Retrieval System Using Divisive Hierarchical Clustering Technique"], "weko_shared_id": -1}
  1. University of Computer Studies, Yangon
  2. Conferences

Information Retrieval System Using Divisive Hierarchical Clustering Technique

http://hdl.handle.net/20.500.12678/0000004821
http://hdl.handle.net/20.500.12678/0000004821
1af1f558-ee99-4afe-8b1b-ba3f477a9e87
84eb6781-00e2-47e7-837e-f13061e56a45
Publication type
Article
Upload type
Publication
Title
Title Information Retrieval System Using Divisive Hierarchical Clustering Technique
Language en
Publication date 2013-02-26
Authors
Thein, Khin Me Me
Description
Today, various types of vast amount of information have been publishing on the World Wide Web. To discover and meet user information needs, the use of document clustering in information retrieval system is necessarily demanded. So, this paper presents information retrieval system using divisive hierarchical clustering technique. We use a hierarchical clustering method that groups similar documents into clusters and efficient search algorithms that optimizes the visited nodes when searching the similar documents. The main objective of search result clustering is to help the users to identify the documents of interest more quickly. The aim of the clustering is to determine the intrinsic grouping in a set of unlabeled data. Information retrieval systems provide useful information in libraries to researchers. Information retrieval is an important and major component of the Internet and the Web in the information age and should play an important role in knowledge discovery.
Keywords
clustering, information retrieval system, knowledge discovery
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/721
Journal articles
Eleventh International Conference On Computer Applications (ICCA 2013)
Conference papers
Books/reports/chapters
Thesis/dissertations
Back
0
0
views
downloads
See details
Views Downloads

Versions

Ver.1 2020-09-01 15:22:46.765152
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Export

OAI-PMH
  • OAI-PMH DublinCore
Other Formats
  • JSON

Confirm


Back to MERAL


Back to MERAL