{"id":210925,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00210925","sets":["6164:6165:6640:10580"]},"path":["10580"],"owner":"44499","recid":"210925","title":["人の移動データに基づく地域のクラスタリングとその応用"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-06-17"},"_buckets":{"deposit":"1e89aa66-ebc4-4803-a0dc-b000b763c9ec"},"_deposit":{"id":"210925","pid":{"type":"depid","value":"210925","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"人の移動データに基づく地域のクラスタリングとその応用","author_link":["534914","534913"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"人の移動データに基づく地域のクラスタリングとその応用"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"モバイルコンピューティング","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2020-06-17","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"NTTドコモ"},{"subitem_text_value":"NTTドコモ"}]},"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/210925/files/IPSJ-DICOMO2020212.pdf","label":"IPSJ-DICOMO2020212.pdf"},"date":[{"dateType":"Available","dateValue":"2022-06-17"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DICOMO2020212.pdf","filesize":[{"value":"1.8 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"76e69b78-fdff-4db2-a985-94e40fe04f76","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2020 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"落合, 桂一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"寺田, 雅之"}],"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_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"人々の社会生活において移動は基本的な行動であり，人々の移動は経済活動や交通，公衆衛生など様々な分野と関わりが深い．人々の移動データと応用先の分野のデータを組み合わせて解析することで，経済活動の予測や交通の最適化など各分野での分析精度の向上や，より詳細な分析が期待される．そこで本研究では，人の移動データに基づいて地域をクラスタリングすることの有用性を実データを使って評価する．まず，約 11 万ユーザの半年間の移動データから地域をクラスタリングする．次に，クラスタリングの有用性を，（1）市町村別観光消費額の年間推移の類似性，（2）入込観光客数の予測問題という 2 つの評価実験により検証する．予測問題では，行政が決めた地域区分と比較して予測誤差を削減できることを確認した．","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"1486","bibliographic_titles":[{"bibliographic_title":"マルチメディア，分散協調とモバイルシンポジウム2231論文集"}],"bibliographicPageStart":"1480","bibliographicIssueDates":{"bibliographicIssueDate":"2020-06-17","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2020"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T17:58:54.533702+00:00","created":"2025-01-19T01:12:07.395279+00:00","links":{}}