{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00018776","sets":["1164:1165:1170:1171"]},"path":["1171"],"owner":"1","recid":"18776","title":["比率規則マイニングシステムの開発と評価"],"pubdate":{"attribute_name":"公開日","attribute_value":"2007-07-03"},"_buckets":{"deposit":"2e4872e9-19b4-423c-a7d4-0164860acf06"},"_deposit":{"id":"18776","pid":{"type":"depid","value":"18776","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"比率規則マイニングシステムの開発と評価","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"比率規則マイニングシステムの開発と評価"},{"subitem_title":"Development and Evaluation of a Ratio Rule Mining System","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2007-07-03","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"筑波大学大学院システム情報工学研究科"},{"subitem_text_value":"筑波大学大学院システム情報工学研究科／筑波大学計算科学研究センター"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Systems and Information Engineering, University of Tsukuba","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Systems and Information Engineering, University of Tsukuba/Center for Computational Sciences, University of Tsukuba","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/18776/files/IPSJ-DBS07143030.pdf"},"date":[{"dateType":"Available","dateValue":"2009-07-03"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DBS07143030.pdf","filesize":[{"value":"1.2 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":"13"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"3224a960-55f3-4309-85f1-c86a34ab7417","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2007 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"濱本, 雅史"},{"creatorName":"北川, 博之"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Masafumi, HAMAMOTO","creatorNameLang":"en"},{"creatorName":"Hiroyuki, KITAGAWA","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10112482","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_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"比率規則は数値データ中における線形関係を表したものである。われわれはこれまでの研究において、比率規則を線分とその周辺領域として表現し、サポートや確信度といった概念を導入してきた。これによりユーザはパラメータを適当に与えることで、各ユーザの意図を汲んだ線形関係を比率規則として抽出可能となった。抽出された比率規則はデータの特徴を表すだけでなく未知データの予測などの応用が可能である。本論文では比率規則を抽出し応用するためのシステム RRMiner の構築について述べ、比率規則の応用手法を提案する。また試作した本システムを示すとともに、実データを用いた実験で比率規則の応用手法の妥当性を明らかにする。","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Ratio Rules represent linear relationships which are included in numeric data. In the previous works, we have defined a Ratio Rule as a line segment and its neighborhood, and introduced concepts such as support and confidence. These concepts enable us to extract linear relationships which reflect on user's intentions. Extracted Ratio Rules do not only reveal characteristics of data, but they are applicable to many kinds of purposes such as unknown data prediction. This paper describes development of a mining and application system for Ratio Rules, RRMiner, and some application methods for Ratio Rules are proposed. We show a demonstration system and evaluate adequacy of the application methods using real data.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"182","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告データベースシステム（DBS）"}],"bibliographicPageStart":"177","bibliographicIssueDates":{"bibliographicIssueDate":"2007-07-03","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"65(2007-DBS-143)","bibliographicVolumeNumber":"2007"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"updated":"2025-01-22T22:32:52.931080+00:00","created":"2025-01-18T22:51:25.192869+00:00","id":18776}