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": "665889cc-ad34-4659-8e07-de73302c99ef"}, "_deposit": {"id": "3625", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "3625"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3625", "sets": ["1597824273898", "user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Classification of Protein By Using Random Forest Classifier", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Data mining is a process that uses a variety of data analysis tools to discover patterns and relationships in data that may be used to make valid predtictions. Classification is a form of data analysis that can be used extract models describing important data classes or to predict future data trends. A random forest is an ensemble (ie. a collection) of unpurned decision trees. Random forests (Rfhenceforth) is a popular and very efficient algorithm, based on model aggregation ideas, for both classification and regression problems. A random forest model is typically made up of tens or hundreds of decision trees. The system is to studythe Random Forest Classifier and to classify class label of protein data using Random Forest Classifier. The system focuses on protein or not. So this system is intended to classify protein data. The experimental results show that the proposed method achieves high accuracy for testing data."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value": []}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-07-26"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Classification of Protein By Using Random Forest Classifier.pdf", "filesize": [{"value": "6 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 6000.0, "url": {"url": "https://meral.edu.mm/record/3625/files/Classification of Protein By Using Random Forest Classifier.pdf"}, "version_id": "2dd30b47-fc8c-41ef-bc16-c401fa7b0594"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Sixth Local Conference on Parallel and Soft Computing", "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": "Thwin, Su Myat"}, {"subitem_authors_fullname": "Min, Mar Mar"}]}]}, "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": "2011-12-29"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/1358"}, "item_title": "Classification of Protein By Using Random Forest Classifier", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003625", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-26"}, "publish_date": "2019-07-26", "publish_status": "0", "recid": "3625", "relation": {}, "relation_version_is_last": true, "title": ["Classification of Protein By Using Random Forest Classifier"], "weko_shared_id": -1}
  1. University of Computer Studies, Yangon
  2. Conferences

Classification of Protein By Using Random Forest Classifier

http://hdl.handle.net/20.500.12678/0000003625
http://hdl.handle.net/20.500.12678/0000003625
04ab0236-056e-4738-a8cf-978e3a662961
665889cc-ad34-4659-8e07-de73302c99ef
None
Preview
Name / File License Actions
Classification Classification of Protein By Using Random Forest Classifier.pdf (6 Kb)
Back
0
0
views
downloads
See details
Views Downloads

Versions

Ver.1 2020-09-01 13:13:16.045327
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