{"created":"2025-01-19T00:59:09.892849+00:00","updated":"2025-01-19T23:44:06.980424+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00194037","sets":["1164:6390:9668:9669"]},"path":["9669"],"owner":"44499","recid":"194037","title":["機械学習応用システムの要件定義方法に関する考察"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-01-17"},"_buckets":{"deposit":"03d524fd-1322-415f-9e7f-9afde8d1a669"},"_deposit":{"id":"194037","pid":{"type":"depid","value":"194037","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"機械学習応用システムの要件定義方法に関する考察","author_link":["456113","456114","456112","456115","456111","456116"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"機械学習応用システムの要件定義方法に関する考察"},{"subitem_title":"A survey of the method of requirement definition for systems using machine learning","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"GN","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2019-01-17","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"(株)日本電気"},{"subitem_text_value":"(株)日本電気"},{"subitem_text_value":"(株)日本電気"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"NEC corporation","subitem_text_language":"en"},{"subitem_text_value":"NEC corporation","subitem_text_language":"en"},{"subitem_text_value":"NEC corporation","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/194037/files/IPSJ-CDS19024018.pdf","label":"IPSJ-CDS19024018.pdf"},"date":[{"dateType":"Available","dateValue":"2021-01-17"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CDS19024018.pdf","filesize":[{"value":"1.6 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"47"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"b16e9677-dc0f-4dc9-9bfa-4dc9edccb999","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"本橋, 洋介"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"見上, 紗和子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"森本, 麻代"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yosuke, Motohashi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Sawako, Mikami","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Mayo, Morimoto","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12628327","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8604","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"機械学習を活用したシステム （機械学習応用システム） では，評価方法や学習済みモデルの更新方法，精度と経済価値の関係の算出，異常値の対応など通常のシステムでは考慮しない要素が多くある．そのため通常のシステム開発の要件定義の方法論がそのまま適用できないという問題がある．本稿では，機械学習応用システムの要件を定義するために，実際のシステムの要件を調査し，要件定義の方法論確立に向けた考察を行う．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告コンシューマ・デバイス＆システム（CDS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2019-01-17","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"18","bibliographicVolumeNumber":"2019-CDS-24"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":194037,"links":{}}