{"updated":"2025-01-19T18:21:33.889507+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00209879","sets":["1164:3368:10539:10540"]},"path":["10540"],"owner":"44499","recid":"209879","title":["機械学習を用いた所属メンバー入れ替え数による組織のパフォーマンス変化の分析"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-01"},"_buckets":{"deposit":"5132e5b2-5e98-4e8b-97d9-2b0096baf0ea"},"_deposit":{"id":"209879","pid":{"type":"depid","value":"209879","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"機械学習を用いた所属メンバー入れ替え数による組織のパフォーマンス変化の分析","author_link":["530232","530231","530233","530230","530229"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"機械学習を用いた所属メンバー入れ替え数による組織のパフォーマンス変化の分析"},{"subitem_title":"Analysis of changes in organizational performance due to the number of members replaced using machine learning","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"若手の会","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2021-03-01","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"名古屋工業大学"},{"subitem_text_value":"中部大学"},{"subitem_text_value":"名古屋工業大学"},{"subitem_text_value":"名古屋工業大学"},{"subitem_text_value":"名古屋工業大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Nagoya Institute of Technology Uniersity","subitem_text_language":"en"},{"subitem_text_value":"Chubu Uniersity","subitem_text_language":"en"},{"subitem_text_value":"Nagoya Institute of Technology Uniersity","subitem_text_language":"en"},{"subitem_text_value":"Nagoya Institute of Technology Uniersity","subitem_text_language":"en"},{"subitem_text_value":"Nagoya Institute of Technology Uniersity","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/209879/files/IPSJ-IS21155006.pdf","label":"IPSJ-IS21155006.pdf"},"date":[{"dateType":"Available","dateValue":"2023-03-01"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-IS21155006.pdf","filesize":[{"value":"929.1 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":"38"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"b4336622-ee50-4b3d-84b3-f9c6198c984b","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"足利, 太嘉"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"松井, 藤五郎"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"武藤, 敦子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"森山, 甲一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"犬塚, 信博"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11253943","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":"2188-8809","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本稿では，近年盛んに行われているデータマイニングの中でも所属先の変化に伴う組織の成績に着目し，分析を行った．所属先の変化に関係がある，加入者数，継続者数，脱退者数を用いることで組織の成績にどのくらいの影響があるのか，有効であるかをロジスティック回帰を用いて MLB の前年度のチーム成績から次年度の成績の予測を行い，加入者数，継続者数，脱退者数の有効性を示すことに成功した．また所属先の変化に個人成績のを考慮した変数を用いることでの予測精度の向上を試みた．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告情報システムと社会環境（IS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"6","bibliographicVolumeNumber":"2021-IS-155"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:11:09.645621+00:00","id":209879,"links":{}}