{"created":"2020-11-17T13:46:45.735186+00:00","id":6181,"links":{},"metadata":{"_buckets":{"deposit":"0a8e881c-7ea5-4ef1-89b6-a0fb22cb6b0d"},"_deposit":{"created_by":45,"id":"6181","owner":"45","owners":[45],"owners_ext":{"displayname":"","email":"dimennyaung@uit.edu.mm","username":""},"pid":{"revision_id":0,"type":"recid","value":"6181"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/6181","sets":["1582963342780:1596102355557"]},"communities":["uit"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Feature Selection based Sequential Minimal Optimization (SMO) Classifier for Heart Disease Classification","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"Feature Selection is one of the pre-processing steps in machine learning. Feature Selection effectively reduced the dimensionality of dataset, removing irrelevant and redundant feature. In this paper, we proposed a Correlation based Feature subset Selection (CFS) based Sequential Minimal Optimization (SMO) classifier for heart disease classification. Experimental results of CFS-SMO and SMO are compared by using heart disease dataset from UCI. Comparative results show that the proposed CFS-SMO classifier is better than SMO classifier."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"Feature selection"},{"interim":"Classification"},{"interim":"Correlation and SMO"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2020-11-17"}],"displaytype":"preview","filename":"Feature Selection based Sequential Minimal Optimization (SMO) Classifier for Heart Disease Classification.pdf","filesize":[{"value":"201 Kb"}],"format":"application/pdf","url":{"url":"https://meral.edu.mm/record/6181/files/Feature Selection based Sequential Minimal Optimization (SMO) Classifier for Heart Disease Classification.pdf"},"version_id":"4888e864-415a-4ad2-a022-7f6441124e8b"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_journal_title":"UJSER"}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Aung Nway Oo"},{"subitem_authors_fullname":"Khin Thuzar Win"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Journal article"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2019-06-03"},"item_title":"Feature Selection based Sequential Minimal Optimization (SMO) Classifier for Heart Disease Classification","item_type_id":"21","owner":"45","path":["1596102355557"],"publish_date":"2020-11-17","publish_status":"0","recid":"6181","relation_version_is_last":true,"title":["Feature Selection based Sequential Minimal Optimization (SMO) Classifier for Heart Disease Classification"],"weko_creator_id":"45","weko_shared_id":-1},"updated":"2021-12-13T07:58:31.076527+00:00"}