{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00239268","sets":["6164:6165:6522:11751"]},"path":["11751"],"owner":"44499","recid":"239268","title":["非負値行列因子分解を用いたデータ品質向上手法の速度改善"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-09-10"},"_buckets":{"deposit":"4dc3feb1-0216-43bb-8415-5d2b7b22e184"},"_deposit":{"id":"239268","pid":{"type":"depid","value":"239268","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"非負値行列因子分解を用いたデータ品質向上手法の速度改善","author_link":["655614","655613"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"非負値行列因子分解を用いたデータ品質向上手法の速度改善"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"データ・機械学習","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2024-09-10","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"香川高等専門学校専攻科創造工学専攻"},{"subitem_text_value":"香川高等専門学校電気情報工学科"}]},"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/239268/files/IPSJ-SES2024040.pdf","label":"IPSJ-SES2024040.pdf"},"date":[{"dateType":"Available","dateValue":"2026-09-10"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SES2024040.pdf","filesize":[{"value":"824.6 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"12"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"958a6b12-3299-46db-90bd-bec905727132","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"國方, 琉冴"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"柿元, 健"}],"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_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"ソフトウェア開発においてスケジュール管理は業務を円滑に進めるための重要な工程である．スケジュール管理においては一般的に工数が予測されるが，予測に用いる過去のプロジェクトデータには，しばしば予測に悪影響を与える値が存在する．より正確な工数予測のためにデータの品質を高めてから予測する方法が行われている．我々はデータ品質向上手法として，非負値行列因子分解 (NMF) を用いたデータ品質向上手法を提案している．NMF は非負値行列をふたつの行列の行列積に分解する，教師なし学習が可能な低ランク近似法である．本稿では，NMF を用いた手法を改良し，処理速度の短縮を試みた．評価実験の結果，改善手法の精度は，手法を適用していない場合の評価値より高く，速度短縮を行いつつ手法の有用性を担保していることがわかった．","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"270","bibliographic_titles":[{"bibliographic_title":"ソフトウェアエンジニアリングシンポジウム2024論文集"}],"bibliographicPageStart":"264","bibliographicIssueDates":{"bibliographicIssueDate":"2024-09-10","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T08:20:29.888184+00:00","created":"2025-01-19T01:42:48.844468+00:00","id":239268}