{"updated":"2025-01-21T22:26:46.471254+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00061913","sets":["1164:2735:5641:5642"]},"path":["5642"],"owner":"10","recid":"61913","title":["時系列データからの汎用的異常検知手法の提案とその性能評価"],"pubdate":{"attribute_name":"公開日","attribute_value":"2009-02-26"},"_buckets":{"deposit":"c5a7a2ef-b433-4117-bf34-1ec149e73284"},"_deposit":{"id":"61913","pid":{"type":"depid","value":"61913","revision_id":0},"owners":[10],"status":"published","created_by":10},"item_title":"時系列データからの汎用的異常検知手法の提案とその性能評価","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"時系列データからの汎用的異常検知手法の提案とその性能評価"},{"subitem_title":"Proposal of general-purpose abnormality detection method for time-series data and its performance evaluation","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2009-02-26","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"千葉工業大学"},{"subitem_text_value":"産業技術総合研究所"},{"subitem_text_value":"産業技術総合研究所"},{"subitem_text_value":"産業技術総合研究所"},{"subitem_text_value":"千葉工業大学"},{"subitem_text_value":"産業技術総合研究所"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Chiba Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"National Institute of Advanced Industrial Science and Technology(AIST)","subitem_text_language":"en"},{"subitem_text_value":"National Institute of Advanced Industrial Science and Technology(AIST)","subitem_text_language":"en"},{"subitem_text_value":"National Institute of Advanced Industrial Science and Technology(AIST)","subitem_text_language":"en"},{"subitem_text_value":"Chiba Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"National Institute of Advanced Industrial Science and Technology(AIST)　","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":10,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/61913/files/IPSJ-MPS09073019.pdf","label":"IPSJ-MPS09073019"},"date":[{"dateType":"Available","dateValue":"2011-02-26"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MPS09073019.pdf","filesize":[{"value":"656.1 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":"17"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"a479034c-0f8c-4ee9-9f9d-3866b9653a5c","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2009 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"荒木, 英人"},{"creatorName":"村川, 正宏"},{"creatorName":"小林, 匠"},{"creatorName":"樋口, 哲也"},{"creatorName":"久保田, 一"},{"creatorName":"大津, 展之"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hidehito, Araki","creatorNameLang":"en"},{"creatorName":"Masahiro, Murakawa","creatorNameLang":"en"},{"creatorName":"Takumi, Kobayashi","creatorNameLang":"en"},{"creatorName":"Tetsuya, Higuchi","creatorNameLang":"en"},{"creatorName":"Hajime, Kubota","creatorNameLang":"en"},{"creatorName":"Nobuyuki, Otsu","creatorNameLang":"en"}],"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_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"多チャンネルの時系列データからの異常検知は，時系列データ源の状態や変化を検知する上で重要である．そこで我々は多チャンネルの時系列データから高次局所相関に基づいた特徴量を抽出し，抽出した特徴量より異常の検知を行う．普段頻繁に得られるデータを正常パターンとして，主成分分析を行うことでそのパターンの成す正常部分空間を抽出する．得られた空間からの逸脱度を異常値として定義し，この値の多寡で異常を検知する．本手法の性能評価のため，心電図データを対象として，異常検知性能の評価量にＦ値を用い，従来手法と比較した．その結果，提案手法の優位性を示すことができた．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Abnormality detection in multi-channel time-series data is important for detecting and understanding changes of states in the source of the data. We propose a method for automatically detecting abnormality by using correlation-based features of multi-channel time-series data. In general, the feature vectors for normal patterns, which occur frequently in time-series, form the low-dimensional subspace in the feature space. The proposed method exploit the subspace by PCA and defines the abnormality as deviation from the subspace. In the experiment of abnormality detection in electrocardiogram, the proposed method outperformed conventional methods in terms of F-measure.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"76","bibliographic_titles":[{"bibliographic_title":"研究報告数理モデル化と問題解決（MPS）"}],"bibliographicPageStart":"73","bibliographicIssueDates":{"bibliographicIssueDate":"2009-02-26","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"19(2009-MPS-73)","bibliographicVolumeNumber":"2009"}]},"relation_version_is_last":true,"weko_creator_id":"10"},"created":"2025-01-18T23:23:58.466981+00:00","id":61913,"links":{}}