{"created":"2025-01-19T01:15:35.491922+00:00","updated":"2025-01-19T16:27:53.914819+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00214794","sets":["6504:10735:10806"]},"path":["10806"],"owner":"44499","recid":"214794","title":["完全準同型暗号とFP-growthの派生アルゴリズムを導入した委託頻出パターンマイニングの提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"a224d554-afc7-48c5-a724-8af211b582a4"},"_deposit":{"id":"214794","pid":{"type":"depid","value":"214794","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"完全準同型暗号とFP-growthの派生アルゴリズムを導入した委託頻出パターンマイニングの提案","author_link":["552231","552232"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"完全準同型暗号とFP-growthの派生アルゴリズムを導入した委託頻出パターンマイニングの提案"}]},"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":"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":"お茶の水女子大"},{"subitem_text_value":"お茶の水女子大"}]},"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/214794/files/IPSJ-Z83-6L-01.pdf","label":"IPSJ-Z83-6L-01.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-28"}],"format":"application/pdf","filename":"IPSJ-Z83-6L-01.pdf","filesize":[{"value":"219.7 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"526b0465-c9e9-4f75-96a8-089fb3b4951b","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":"種村, 真由子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小口, 正人"}],"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":"近年、ビッグデータの利活用が多くの分野で盛んである。大規模なデータを扱う統計処理を行う際、クラウド等の外部の計算資源を利用する方法があるが、外部委託するデータがプライバシに関わる場合や機密情報の場合は、特に管理に注意する必要がある。本研究では、完全準同型暗号(Fully Homomorphic Encryption、FHE)で暗号化したデータを使用し、委託頻出パターンマイニングを行うクライアント・サーバシステムを作成した。頻出パターンマイニングのアルゴリズムとして、現状実装済みであるFP-growthを使用した場合と、新規にFP-growth*を適用した場合についての検討を行う。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"378","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"377","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":214794,"links":{}}