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": "49c232fd-813b-4fcc-ac48-f4692cf2702a"}, "_deposit": {"created_by": 71, "id": "7368", "owner": "71", "owners": [71], "owners_ext": {"displayname": "Kay_Thwe", "username": "kay_thwe"}, "pid": {"revision_id": 0, "type": "depid", "value": "7368"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00007368", "sets": ["1582963674932", "1597397050488", "user-miit"]}, "communities": ["miit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Ontology based Web Page Classification System by using Enhanced C4.5 and Naïve Bayesian Classifiers", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "For classification, this system proposes the enhanced C4.5 decision tree and Naive Bayesian (NB) classifiers. In the original C4.5 classification algorithm, the traditional entropy measure is unable to measure the appropriateness of nodes when the class labels are the same."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "semantic, classification, ontology, C4.5, NB"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2021-01-11"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "9. Ontology based Web Page Classification System by myuwai2018 volume3 pg 286-291 (Phyu Thwe).pdf", "filesize": [{"value": "2.8 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "mimetype": "application/pdf", "size": 2800000.0, "url": {"url": "https://meral.edu.mm/record/7368/files/9. Ontology based Web Page Classification System by myuwai2018 volume3 pg 286-291 (Phyu Thwe).pdf"}, "version_id": "96ddbdb1-6796-402d-99c6-9b46f2236d26"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "ICIIBMS 2018", "subitem_c_date": "31-07-2018", "subitem_conference_title": "International Conference on Intelligent Informatics and Biomedical Sciences (IEEE)", "subitem_place": "Thailand", "subitem_website": "http://www.guide2research.com/conference/iciibms-2018"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Hnin Pwint Myu Wai"}, {"subitem_authors_fullname": "Phyu Phyu Tar"}, {"subitem_authors_fullname": "Phyu Thwe"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Conference paper"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2018-10-20"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://www.guide2research.com/conference/iciibms-2018"}, "item_title": "Ontology based Web Page Classification System by using Enhanced C4.5 and Naïve Bayesian Classifiers", "item_type_id": "21", "owner": "71", "path": ["1582963674932", "1597397050488"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000007368", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2021-01-11"}, "publish_date": "2021-01-11", "publish_status": "0", "recid": "7368", "relation": {}, "relation_version_is_last": true, "title": ["Ontology based Web Page Classification System by using Enhanced C4.5 and Naïve Bayesian Classifiers"], "weko_shared_id": -1}
  1. Myanmar Institute of Information Technology
  1. Myanmar Institute of Information Technology
  2. Faculty of Information Science

Ontology based Web Page Classification System by using Enhanced C4.5 and Naïve Bayesian Classifiers

http://hdl.handle.net/20.500.12678/0000007368
http://hdl.handle.net/20.500.12678/0000007368
8321628c-2f41-42f8-b2f1-4f5846983ced
49c232fd-813b-4fcc-ac48-f4692cf2702a
None
Preview
Name / File License Actions
9. 9. Ontology based Web Page Classification System by myuwai2018 volume3 pg 286-291 (Phyu Thwe).pdf (2.8 MB)
Publication type
Conference paper
Upload type
Publication
Title
Title Ontology based Web Page Classification System by using Enhanced C4.5 and Naïve Bayesian Classifiers
Language en
Publication date 2018-10-20
Authors
Hnin Pwint Myu Wai
Phyu Phyu Tar
Phyu Thwe
Description
For classification, this system proposes the enhanced C4.5 decision tree and Naive Bayesian (NB) classifiers. In the original C4.5 classification algorithm, the traditional entropy measure is unable to measure the appropriateness of nodes when the class labels are the same.
Keywords
semantic, classification, ontology, C4.5, NB
Identifier http://www.guide2research.com/conference/iciibms-2018
Conference papers
ICIIBMS 2018
31-07-2018
International Conference on Intelligent Informatics and Biomedical Sciences (IEEE)
Thailand
http://www.guide2research.com/conference/iciibms-2018
Back
0
0
views
downloads
See details
Views Downloads

Versions

Ver.1 2021-01-11 04:52:48.567261
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