{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00214750","sets":["6504:10735:10805"]},"path":["10805"],"owner":"44499","recid":"214750","title":["カテゴリ変数を含むソフトウェア開発実績データにおける非負値行列因子分解による欠損値補完"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"5bb3fbd6-638d-4b6f-8ce2-9885e5862228"},"_deposit":{"id":"214750","pid":{"type":"depid","value":"214750","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"カテゴリ変数を含むソフトウェア開発実績データにおける非負値行列因子分解による欠損値補完","author_link":["552098","552099"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"カテゴリ変数を含むソフトウェア開発実績データにおける非負値行列因子分解による欠損値補完"}]},"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":"2021-03-04","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"香川高専"},{"subitem_text_value":"香川高専"}]},"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/214750/files/IPSJ-Z83-4K-05.pdf","label":"IPSJ-Z83-4K-05.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-28"}],"format":"application/pdf","filename":"IPSJ-Z83-4K-05.pdf","filesize":[{"value":"484.9 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"cd9c165a-4476-4512-ab60-33937d8ddd80","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"川辺, 裕貴"}],"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_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":"ソフトウェア開発プロジェクトの初期段階において,コスト見積が行われ,正確なコスト見 積を行うことがプロジェクトを成功へと導く. しかし,開発実績データには欠損値が含まれていることが多く,欠損値が含まれていると,コスト見積が行えない場合がある.また, 開発実績データにはカテゴリ変数であるデータが得られることが多く数量的に扱うことが難しい。そこで本研究では,教師なし学習で入力データの潜在パターンを抽出可能な非負値行列因子分解(nonnegative matrix factorization:NMF)に基づく手法を適用し,カテゴリ変数を含む開発実績データの欠損値処理を行い評価した.評価実験の結果,カテゴリ変数に対して,問題なく使用できることが確認された.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"286","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"285","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":214750,"updated":"2025-01-19T16:29:10.115716+00:00","links":{},"created":"2025-01-19T01:15:33.001736+00:00"}