{"updated":"2025-01-20T01:30:04.463012+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00189697","sets":["1164:5352:9434:9497"]},"path":["9497"],"owner":"11","recid":"189697","title":["予測系列マイニングのための選択的推論とその軌跡データ分析への適用"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-06-06"},"_buckets":{"deposit":"5e24fda2-04d1-4313-b3dc-38954d6cef27"},"_deposit":{"id":"189697","pid":{"type":"depid","value":"189697","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"予測系列マイニングのための選択的推論とその軌跡データ分析への適用","author_link":["432441","432447","432442","432449","432444","432446","432440","432443","432448","432445"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"予測系列マイニングのための選択的推論とその軌跡データ分析への適用"},{"subitem_title":"Selective Inference for Predictive Sequence Mining and Its Applications to Trajectory Data Analysis","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"IBISML一般セッション","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2018-06-06","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"名古屋工業大学"},{"subitem_text_value":"名古屋工業大学"},{"subitem_text_value":"名古屋工業大学"},{"subitem_text_value":"名古屋工業大学"},{"subitem_text_value":"名古屋工業大学／理化学研究所／物質材料研究機構"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Nagoya Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Nagoya Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Nagoya Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Nagoya Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Nagoya Institute of Technology / RIKEN / National Institute for Materials Science","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/189697/files/IPSJ-BIO18054004.pdf","label":"IPSJ-BIO18054004.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-BIO18054004.pdf","filesize":[{"value":"711.9 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"41"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"88f5cb80-43b6-46a4-b5ba-e282341000ab","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2018 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"西, 和弥"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"佐久間, 拓人"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"梅津, 佑太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"梶岡, 慎輔"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"竹内, 一郎"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kazuya, Nishi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takuto, Sakuma","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yuta, Umezu","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Shinsuke, Kajioka","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ichiro, Takeuchi","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12055912","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":"2188-8590","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"センサーデバイスの発展により，GPS による移動データなどの系列データが容易に取得できるようになった．そういったデータから重要な系列パターンを抽出する手法の一つとして，予測系列マイニングと呼ばれるデータマイニング手法がある．膨大な候補の中から抽出された系列パターンの信頼性をなんらかの指標を用いて定量的に評価することは意思決定を行う際にとても重要である．本稿では L1 正則化つき線形モデルを用いた予測系列マイニングと，選択バイアスを考慮した統計的仮説検定を組み合わせた手法を提案する．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"With the development of sensor devices, series data such as GPS data can be easily acquired. To extract important sequential patterns from such data, there is a data mining technique called predictive sequence mining. Evaluating the reliability of sequence patterns extracted from enormous candidates is also important to make decisions. In this paper, we propose a method combining predictive sequence mining using a linear model with L1 regularization and statistical hypothesis test considering selection bias.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告バイオ情報学（BIO）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2018-06-06","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4","bibliographicVolumeNumber":"2018-BIO-54"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-19T00:55:42.741596+00:00","id":189697,"links":{}}