{"created":"2025-01-19T01:28:52.586389+00:00","updated":"2025-01-19T11:29:22.968138+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00229614","sets":["6504:11436:11438"]},"path":["11438"],"owner":"44499","recid":"229614","title":["日本プロ野球における混合分布モデルを用いた野手の分類"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"347dfea0-066e-4951-babb-edf06764bd33"},"_deposit":{"id":"229614","pid":{"type":"depid","value":"229614","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"日本プロ野球における混合分布モデルを用いた野手の分類","author_link":["617633","617634"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"日本プロ野球における混合分布モデルを用いた野手の分類"}]},"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":"2023-02-16","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":"富士ソフト"},{"subitem_text_value":"順天堂大"}]},"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/229614/files/IPSJ-Z85-5A-04.pdf","label":"IPSJ-Z85-5A-04.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-5A-04.pdf","filesize":[{"value":"614.6 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"c7e5ffdb-d371-4a70-b9a0-8d84b4283924","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"織田, 大志"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"廣津, 信義"}],"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":"This study presents a framework for grouping Japanese professional baseball players. For the analysis, we used 115 different hitting indexes for 327 fielders who played in official games in 2020 provided by DELTA Corporation. We divided these indexes into eight categories defined by DELTA and narrowed 327 players down to seventy-two players with \"WAR \"of 1.0 or higher. We performed a principal components analysis on each of the itemized indexes to condense the information as variables. Using the principal component scores, we performed a cluster analysis using a mixed distribution model and classified the players into multiple clusters. Furthermore, we used a random forest to identify which indexes contributed to the results of the cluster analysis. This framework suggested that players who belonged to the same cluster more frequently could be substitutes for each other in eight categories, and that players who were farther from each other could be trade personnel.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"168","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"167","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":229614,"links":{}}