{"created":"2023-05-15T11:56:17.466006+00:00","id":1487,"links":{},"metadata":{"_buckets":{"deposit":"f3246485-8b84-4b60-b264-22aedabd62eb"},"_deposit":{"created_by":3,"id":"1487","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"1487"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00001487","sets":["17:18"]},"author_link":["879"],"item_22_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2008-03-01","bibliographicIssueDateType":"Issued"},"bibliographic_titles":[{}]}]},"item_22_description_31":{"attribute_name":"目次","attribute_value_mlt":[{"subitem_description":"はしがき||研究成果 要旨||研究成果","subitem_description_type":"Other"}]},"item_22_description_5":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"平成17年度-平成19年度科学研究費補助金(基盤研究(C))研究成果報告書","subitem_description_type":"Other"}]},"item_22_publisher_7":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"九州工業大学"}]},"item_22_relation_39":{"attribute_name":"関係URI","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"収録別刷論文(1):http://hdl.handle.net/10228/2333"}]},{"subitem_relation_name":[{"subitem_relation_name_text":"収録別刷論文(2):http://hdl.handle.net/10228/2332"}]},{"subitem_relation_name":[{"subitem_relation_name_text":"収録別刷論文(3):http://hdl.handle.net/10228/499"}]},{"subitem_relation_name":[{"subitem_relation_name_text":"収録別刷論文(4):http://hdl.handle.net/10228/2331"}]}]},"item_22_select_60":{"attribute_name":"査読の有無","attribute_value_mlt":[{"subitem_select_item":"no"}]},"item_22_text_37":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"九州工業大学情報工学部システム創成情報工学科"}]},"item_22_text_58":{"attribute_name":"科研課題番号","attribute_value_mlt":[{"subitem_text_value":"17510127"}]},"item_22_text_62":{"attribute_name":"備考","attribute_value_mlt":[{"subitem_text_value":"収録別刷論文(1):p.5-12「The bump hunting method using the genetic algorithm with the extreme-value statistics」は学術雑誌掲載論文に別途登録 / 収録別刷論文(2):p.13-20「トランザードデータアナリシス(ディペンダビリティ理論の最近の展開)」は学術雑誌掲載論文に別途登録 / 収録別刷論文(3):p.21-31「The mixed trunsored model with applications to SARS」は学術雑誌掲載論文に別途登録 / 収録別刷論文(4):p.33-41「決定木とワイブルべき乗則とを組み合わせた電力ケーブルの劣化要因分析とその余寿命推定」は学術雑誌掲載論文に別途登録"}]},"item_22_version_type_59":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":"","affiliationNameLang":"ja"}]}],"creatorNames":[{"creatorName":"Hirose, Hideo","creatorNameLang":"en"},{"creatorName":"廣瀬, 英雄","creatorNameLang":"ja"},{"creatorName":"ヒロセ, ヒデオ","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2009-03-06"}],"displaytype":"detail","filename":"17510127seika.pdf","filesize":[{"value":"276.5 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"17510127seika.pdf","url":"https://kyutech.repo.nii.ac.jp/record/1487/files/17510127seika.pdf"},"version_id":"342e092f-1ff6-4b01-9d66-56769d275618"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"trunsored model","subitem_subject_scheme":"Other"},{"subitem_subject":"bump hunting","subitem_subject_scheme":"Other"},{"subitem_subject":"decision tree","subitem_subject_scheme":"Other"},{"subitem_subject":"boot's trap","subitem_subject_scheme":"Other"},{"subitem_subject":"incomplete data","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"research report","resourceuri":"http://purl.org/coar/resource_type/c_18ws"}]},"item_title":"混合trunsoredモデルと決定木とを組合せた不完全データの高精密解析法","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"混合trunsoredモデルと決定木とを組合せた不完全データの高精密解析法"}]},"item_type_id":"22","owner":"3","path":["18"],"pubdate":{"attribute_name":"公開日","attribute_value":"2009-03-06"},"publish_date":"2009-03-06","publish_status":"0","recid":"1487","relation_version_is_last":true,"title":["混合trunsoredモデルと決定木とを組合せた不完全データの高精密解析法"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2023-10-25T09:33:50.960404+00:00"}