{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00235674","sets":["6504:11678:11697"]},"path":["11697"],"owner":"44499","recid":"235674","title":["Time-delay multivariate time series prediction: a technical extension"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"43464951-88e1-4261-badd-544082158eca"},"_deposit":{"id":"235674","pid":{"type":"depid","value":"235674","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Time-delay multivariate time series prediction: a technical extension","author_link":["644038","644036","644037","644035"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Time-delay multivariate time series prediction: a technical extension"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ソフトウェア科学・工学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2024-03-01","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":"KDDI総合研究所"},{"subitem_text_value":"KDDI総合研究所"},{"subitem_text_value":"KDDI総合研究所"},{"subitem_text_value":"KDDI総合研究所"}]},"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/235674/files/IPSJ-Z86-4A-06.pdf","label":"IPSJ-Z86-4A-06.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-4A-06.pdf","filesize":[{"value":"295.8 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"4d5ef34c-27e8-4d1f-b791-94f7df600fde","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"コアンフィ, ウン"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"牛, コウ"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"ギョーム, アボー"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"南川, 敦宣"}],"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":"Real-time monitoring and time-series collecting system often faces to the issue of disruption due to common issues such as hardware/software failure or network disconnection, leading to the problem of missing data or time-delayed data. Online learning-based time-series prediction model trained by those missing data could be affected negative impact and degrade its performance. Recently, a method (namely, ERL) leveraging time-delayed complete data to enhance the time-series representation learning is introduced and shown the efficacy to address this time-delayed issue. In this paper, we present technical extension of ERL to reduce the resource consumption during training process.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"128","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"127","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":235674,"updated":"2025-01-19T09:33:55.946419+00:00","links":{},"created":"2025-01-19T01:37:17.068812+00:00"}