{"id":197701,"updated":"2025-01-19T22:14:38.965924+00:00","links":{},"created":"2025-01-19T01:02:08.029228+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00197701","sets":["1164:2735:9724:9827"]},"path":["9827"],"owner":"44499","recid":"197701","title":["非負値多重行列因子分解と決定木学習による行動パターンと属性情報の分析"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-06-10"},"_buckets":{"deposit":"2cb4aad7-75a0-495e-b9e1-6b3cfeea417b"},"_deposit":{"id":"197701","pid":{"type":"depid","value":"197701","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"非負値多重行列因子分解と決定木学習による行動パターンと属性情報の分析","author_link":["474946","474947","474944","474943","474948","474945"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"非負値多重行列因子分解と決定木学習による行動パターンと属性情報の分析"},{"subitem_title":"An Analysis of the Relationship between Users' Behavior Patterns and Their Attributes Information Using Non-negative Multiple Matrix Factorization and Decision Tree Learning","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2019-06-10","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"名古屋工業大学大学院工学研究科情報工学専攻"},{"subitem_text_value":"名古屋工業大学大学院工学研究科情報工学専攻"},{"subitem_text_value":"名古屋工業大学大学院工学研究科情報工学専攻"},{"subitem_text_value":"名古屋工業大学大学院工学研究科情報工学専攻"},{"subitem_text_value":"名古屋工業大学大学院工学研究科情報工学専攻"},{"subitem_text_value":"名古屋工業大学大学院工学研究科情報工学専攻"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Department of Computer Science, Graduate School of Engineering, Nagoya Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Department of Computer Science, Graduate School of Engineering, Nagoya Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Department of Computer Science, Graduate School of Engineering, Nagoya Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Department of Computer Science, Graduate School of Engineering, Nagoya Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Department of Computer Science, Graduate School of Engineering, Nagoya Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Department of Computer Science, Graduate School of Engineering, Nagoya Institute of Technology","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/197701/files/IPSJ-MPS19123039.pdf","label":"IPSJ-MPS19123039.pdf"},"date":[{"dateType":"Available","dateValue":"2021-06-10"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MPS19123039.pdf","filesize":[{"value":"1.3 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":"17"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"f4c74d62-78bd-4b1b-83ab-ca5f296e8a7c","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"小島, 世大"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"石榑, 隼人"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"坂田, 美和"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"武藤, 敦子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"森山, 甲一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"犬塚, 信博"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10505667","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8833","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年 IC カードの普及やセンサデバイスの発達により,多岐にわたるデータの収集 ・蓄積が可能となり,それらのデータを用いて人の行動分析に関する研究がされている.それらのデータの多くは,非負の値を要素にもつ行列として表現することができる.これらを解析する手法として行列因子分解に基づく手法が注目を集めており,パターン抽出や推薦システムなどに利用されている.本研究では,データから非負値多重行列因子分解 (NMMF) と決定木学習を用いて人の頻出行動パターンと属性情報 (性別,年齢など) の関係を分析する手法を提案する.最後に,われわれは提案手法を用いて入退室データの分析を行い,提案手法の有効性を確認する.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告数理モデル化と問題解決(MPS)"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2019-06-10","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"39","bibliographicVolumeNumber":"2019-MPS-123"}]},"relation_version_is_last":true,"weko_creator_id":"44499"}}