{"links":{},"id":197111,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00197111","sets":["6504:9795:9815"]},"path":["9815"],"owner":"6748","recid":"197111","title":["Analysis of Density between Classes for Mitigating Class Imbalance Problem for Activity Recognition"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-02-28"},"_buckets":{"deposit":"b9d54e06-67b9-4cac-a0b2-6cfd01b139f4"},"_deposit":{"id":"197111","pid":{"type":"depid","value":"197111","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"Analysis of Density between Classes for Mitigating Class Imbalance Problem for Activity Recognition","author_link":["472528","472529"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Analysis of Density between Classes for Mitigating Class Imbalance Problem for Activity Recognition"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ネットワーク","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2019-02-28","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"九工大"},{"subitem_text_value":"九工大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/197111/files/IPSJ-Z81-2X-07.pdf","label":"IPSJ-Z81-2X-07.pdf"},"date":[{"dateType":"Available","dateValue":"2019-05-28"}],"format":"application/pdf","filename":"IPSJ-Z81-2X-07.pdf","filesize":[{"value":"309.4 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"e3d092dd-13e1-4b70-95a4-bcbc35708e80","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Sayeda, Shamma Alia"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"井上, 創造"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Class Imbalance problem is unavoidable problem for activity recognition using mobile sensors in real life scenario when we have very less amount of data for some activity classes. It can affect the accuracy of the algorithms for classification. In this paper, we tried to find if there is any effect of class imbalance on accuracy of the algorithms depending on various density. It is important for understanding the problem better that can help in finding better solution for classification in this scenario.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"224","bibliographic_titles":[{"bibliographic_title":"第81回全国大会講演論文集"}],"bibliographicPageStart":"223","bibliographicIssueDates":{"bibliographicIssueDate":"2019-02-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2019"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"created":"2025-01-19T01:01:35.651034+00:00","updated":"2025-01-19T22:31:42.767412+00:00"}