{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00205590","sets":["6504:10247:10251"]},"path":["10251"],"owner":"6748","recid":"205590","title":["非負集計データのための部分和精度に優れた差分プライバシー適用手法二次元化の一考察Ⅱ"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-02-20"},"_buckets":{"deposit":"062f76bb-caec-41c3-8293-bab6e2a710e9"},"_deposit":{"id":"205590","pid":{"type":"depid","value":"205590","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"非負集計データのための部分和精度に優れた差分プライバシー適用手法二次元化の一考察Ⅱ","author_link":["510280","510277","510279","510281","510276","510278"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"非負集計データのための部分和精度に優れた差分プライバシー適用手法二次元化の一考察Ⅱ"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"セキュリティ","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2020-02-20","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":"北海道科学大"},{"subitem_text_value":"三和工機株式会社"},{"subitem_text_value":"北海道科学大"},{"subitem_text_value":"NTTドコモ"},{"subitem_text_value":"北海道科学大"},{"subitem_text_value":"北海道科学大"}]},"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/205590/files/IPSJ-Z82-1F-01.pdf","label":"IPSJ-Z82-1F-01.pdf"},"date":[{"dateType":"Available","dateValue":"2020-06-19"}],"format":"application/pdf","filename":"IPSJ-Z82-1F-01.pdf","filesize":[{"value":"424.3 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"37ace454-7763-42f6-819a-11e9dcc441ef","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2020 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"本郷, 節之"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"岡本, 拓海"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"飯塚, 皇太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"寺田, 雅之"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"鈴木, 昭弘"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"稲垣, 潤"}],"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":"ビッグデータの有効活用に向けて，プライバシーを保護する技術が盛んに研究されている．我々は現在，元のデータベースに含まれる個々のデータの集合体（個票）から，何らかの条件を満たすデータの個数を数えた数値データの集合体であり，さらに，全体的に疎な分布をとるような集計データを対象にしたプライバシー保護技術の開発を進めている．本技術によれば，非負制約の遵守，部分和精度劣化の低減，データ密度急増の抑制を同時に実現できる．我々は先に，一旦一次元化する必要があった従来手法を発展させ，地理空間データ上の分布に合わせて二次元のまま適用可能な手法を新たに提案した．本報告では，この二次元化された新手法の基礎的な特性について報告する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"384","bibliographic_titles":[{"bibliographic_title":"第82回全国大会講演論文集"}],"bibliographicPageStart":"383","bibliographicIssueDates":{"bibliographicIssueDate":"2020-02-20","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2020"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"id":205590,"updated":"2025-01-19T19:43:19.384416+00:00","links":{},"created":"2025-01-19T01:07:43.888414+00:00"}