{"created":"2023-05-15T12:05:24.352306+00:00","id":10069,"links":{},"metadata":{"_buckets":{"deposit":"b1f27ec7-a3a5-46aa-8408-aab7e5891fb6"},"_deposit":{"created_by":3,"id":"10069","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"10069"},"status":"published"},"_oai":{"id":"oai:iwate-u.repo.nii.ac.jp:00010069","sets":["1515:1519"]},"author_link":["62476","62475"],"item_16_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2011-09-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"6","bibliographicPageEnd":"893","bibliographicPageStart":"881","bibliographicVolumeNumber":"52","bibliographic_titles":[{"bibliographic_title":"International Journal of Approximate Reasoning"}]}]},"item_16_date_6":{"attribute_name":"登録日","attribute_value_mlt":[{"subitem_date_issued_datetime":"2011-09-01"}]},"item_16_description_12":{"attribute_name":"Abstract","attribute_value_mlt":[{"subitem_description":"Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns in time series data. This task becomes difficult when valuable patterns are locally or implicitly involved in noisy data. In this paper, we propose a method for mining such local patterns from sequences. Using rough set theory, we describe an algorithm for generating decision rules that take into account local patterns for arriving at a particular decision. To apply sequential data to rough set theory, the size of local patterns is specified, allowing a set of sequences to be transformed into a sequential information system. We use the discernibility of decision classes to establish evaluation criteria for the decision rules in the sequential information system.","subitem_description_type":"Other"}]},"item_16_publisher_14":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Elsevier Inc."}]},"item_16_relation_26":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"10.1016/j.ijar.2011.03.002","subitem_relation_type_select":"DOI"}}]},"item_16_rights_18":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyright © 2011 Elsevier Inc. All rights reserved."}]},"item_16_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"0888-613X","subitem_source_identifier_type":"ISSN"}]},"item_16_text_4":{"attribute_name":"著者(機関)","attribute_value_mlt":[{"subitem_text_value":"Department of Electrical Engineering and Computer Science, Iwate University"},{"subitem_text_value":"College of Information and Systems, Muroran Institute of Technology"}]},"item_16_version_type_27":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kaneiwa, Ken"}],"nameIdentifiers":[{"nameIdentifier":"62475","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Kudo, Yasuo"}],"nameIdentifiers":[{"nameIdentifier":"62476","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2016-11-14"}],"displaytype":"detail","filename":"ijar-v52i6p881-893.pdf","filesize":[{"value":"277.3 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"ijar-v52i6p881-893.pdf","url":"https://iwate-u.repo.nii.ac.jp/record/10069/files/ijar-v52i6p881-893.pdf"},"version_id":"819e6c41-f713-4cd8-a941-0cb40d423dd0"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Rough set theory","subitem_subject_scheme":"Other"},{"subitem_subject":"Sequential pattern mining","subitem_subject_scheme":"Other"},{"subitem_subject":"Local patterns","subitem_subject_scheme":"Other"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"A sequential pattern mining algorithm using rough set theory","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"A sequential pattern mining algorithm using rough set theory"}]},"item_type_id":"16","owner":"3","path":["1519"],"pubdate":{"attribute_name":"公開日","attribute_value":"2011-09-01"},"publish_date":"2011-09-01","publish_status":"0","recid":"10069","relation_version_is_last":true,"title":["A sequential pattern mining algorithm using rough set theory"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2023-05-16T11:47:49.326784+00:00"}