{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00090992","sets":["1164:4402:7094:7117"]},"path":["7117"],"owner":"11","recid":"90992","title":["複数単語共起フィルタリングにより大規模化するデータを処理する有害文分類手法の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2013-03-11"},"_buckets":{"deposit":"2a56a9fd-1864-44f7-a034-d48f263d9029"},"_deposit":{"id":"90992","pid":{"type":"depid","value":"90992","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"複数単語共起フィルタリングにより大規模化するデータを処理する有害文分類手法の提案","author_link":["0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"複数単語共起フィルタリングにより大規模化するデータを処理する有害文分類手法の提案"}]},"item_type_id":"4","publish_date":"2013-03-11","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産業戦略工学専攻"},{"subitem_text_value":"名古屋工業大学大学院産業戦略工学専攻／名古屋工業大学グリーン・コンピューティング研究所"},{"subitem_text_value":"名古屋工業大学大学院産業戦略工学専攻／東京大学政策ビジョン研究センター／名古屋工業大学グリーン・コンピューティング研究所"}]},"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/90992/files/IPSJ-ICS13171002.pdf"},"date":[{"dateType":"Available","dateValue":"2015-03-11"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-ICS13171002.pdf","filesize":[{"value":"971.9 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"25"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"3aef3575-8994-43a7-951f-f3e9c9af71ef","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2013 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"DeyueDeng"},{"creatorName":"大塚孝信"},{"creatorName":"伊藤孝行"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11135936","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":"近年行われた情報フィルタリングの研究では，共起情報を導入し，フィルタリングの性能を上げるには，学習データが大規模となることで，膨大となる処理時間への対応が課題となっている．したがって，共起の単語数を増加させた場合，爆発的なデータ数となる共起を高速に処理する方法を考えることが必要である．ストレージの容量的問題もあるが，データの処理，プログラムとデータベース間協調の効率を向上することが重要となる．また，共起の増加に伴いノイズも増加するので，処理性能に支障をきたす可能性もある．本研究では既存手法では構築困難な大規模な共起データを本扱う手法を提案する．提案手法では，並列処理を用いて，実用的範囲で許容できる時間内学習過程や判定過程を実行できるフィルタリングを実装できる．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告知能システム（ICS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2013-03-11","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"2013-ICS-171"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"updated":"2025-01-21T15:46:04.967385+00:00","created":"2025-01-18T23:40:22.633877+00:00","links":{},"id":90992}