{"created":"2020-09-01T15:41:19.833753+00:00","id":5054,"links":{},"metadata":{"_buckets":{"deposit":"82eae9a4-710a-46ff-8a7e-51ee0de3335d"},"_deposit":{"id":"5054","owners":[],"pid":{"revision_id":0,"type":"recid","value":"5054"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/5054","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Feature Selection for Rule-Based Classification of Fish Types Using Information Gain","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"Classification is a process of finding thecommon properties among various features andclassifying them into classes.The feature selectionprocess is very important which selects a subset ofrelevant features, so that the selected subset issufficient to perform the classificationtask.Classification of the real world problem canbe made easier and less time consuming byremoving the irrelevant features.In this paper, anefficient feature selection method based oninformation gainis presented for finding andselecting relevant features which maximized theaccuracy of classifier.Features that are relevantfor rule-based classifier are selected by usinginformation gain.Information gain calculates thegain value of each feature in the dataset to selectthe best(relevant) feature subset. Then, rule-basedclassifier generates the rules by usingselected(best) feature subset to classify the classlabel of an unknown sample.The feature selectionbased on information gain yields the significantimprovement of accuracy by using crossvalidationfor classification of fish dataset fromfish profile.com repository when using rule-basedclassifier."}]},"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":"2019-07-18"}],"displaytype":"preview","filename":"50_PDFsam_PSC_final proof.pdf","filesize":[{"value":"137 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/5054/files/50_PDFsam_PSC_final proof.pdf"},"version_id":"43ae5ab8-3f96-4d53-a5a6-6e8f52215d9d"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Eighth 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":"Wai, Yadanar"},{"subitem_authors_fullname":"Aye, Aye"}]}]},"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":"2017-12-27"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/947"},"item_title":"Feature Selection for Rule-Based Classification of Fish Types Using Information Gain","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-07-18","publish_status":"0","recid":"5054","relation_version_is_last":true,"title":["Feature Selection for Rule-Based Classification of Fish Types Using Information Gain"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T03:38:25.895333+00:00"}