{"updated":"2025-01-20T11:00:50.877604+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00164130","sets":["6504:8291:8753"]},"path":["8753"],"owner":"6748","recid":"164130","title":["クラスタリングと確率的主成分分析を用いたアンケートデータ欠損補完に関する検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2015-03-17"},"_buckets":{"deposit":"5aced8fa-70c4-43ba-b345-17789715f0a6"},"_deposit":{"id":"164130","pid":{"type":"depid","value":"164130","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"クラスタリングと確率的主成分分析を用いたアンケートデータ欠損補完に関する検討","author_link":["322915","322913","322914"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"クラスタリングと確率的主成分分析を用いたアンケートデータ欠損補完に関する検討"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"データとウェブ","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2015-03-17","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":"名大"},{"subitem_text_value":"名大"},{"subitem_text_value":"名大"}]},"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/164130/files/IPSJ-Z77-5M-09.pdf","label":"IPSJ-Z77-5M-09.pdf"},"date":[{"dateType":"Available","dateValue":"2016-06-10"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-Z77-5M-09.pdf","filesize":[{"value":"212.6 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"ecff359c-1c23-4b4e-b862-3d7b8deccc18","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2015 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"福田, 智広"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"古橋, 武"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"吉川, 大弘"}],"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":"企業が顧客の需要や製品に対する評価を把握する方法の1つとしてアンケート調査があり，得られたアンケートデータに，多変量解析手法を用いて解析することが多い．しかし，アンケートデータには，回答が未記入の部分が存在する場合があり，そのような欠損を含むデータに対しては多変量解析手法が適用できないため，何らかの形で欠損部分を補完する必要がある．そこで本稿では，テンソル構造のアンケートデータに対して，回答傾向が類似した回答者をクラスタリングし，クラスタごとに確率的主成分分析とCP分解を利用した欠損補完を行う手法を提案する．実際のアンケートデータに提案手法を適用し，その性能評価を行う．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"582","bibliographic_titles":[{"bibliographic_title":"第77回全国大会講演論文集"}],"bibliographicPageStart":"581","bibliographicIssueDates":{"bibliographicIssueDate":"2015-03-17","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2015"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"created":"2025-01-19T00:35:58.754481+00:00","id":164130,"links":{}}