{"created":"2023-05-15T11:59:16.666647+00:00","id":5624,"links":{},"metadata":{"_buckets":{"deposit":"f0de26be-d6c0-46fc-b438-3a405264ebfb"},"_deposit":{"created_by":3,"id":"5624","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"5624"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00005624","sets":["15:20"]},"author_link":["22677","22676","6421"],"item_23_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2017-06-22","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"551","bibliographicPageStart":"535","bibliographicVolumeNumber":"10313","bibliographic_titles":[{"bibliographic_title":"Lecture Notes in Computer Science"}]}]},"item_23_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"A logical framework on Machine Learning by Rule Generation (MLRG) from tables with non-deterministic information is proposed, and its prototype system in SQL is implemented. In MLRG, the certain rules defined in Rough Non-deterministic Information Analysis (RNIA) are obtained at first, and each uncertain attribute value is estimated so as to cause the certain rules as many as possible, because the certain rules show us the most reliable information. This strategy is similar to the maximum likelihood estimation in statistics. By repeating this process, a standard table and the rules in its table are learned (or estimated) from a given table with non-deterministic information. Even though it will be hard to know the actual unknown values, MLRG will give a plausible estimation value.","subitem_description_type":"Abstract"}]},"item_23_description_5":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"International Joint Conference on Rough Sets (IJCRS 2017), 3-7 July, 2017, Olsztyn, Poland","subitem_description_type":"Other"}]},"item_23_description_60":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"subitem_description":"Conference Paper","subitem_description_type":"Other"}]},"item_23_link_61":{"attribute_name":"研究者情報","attribute_value_mlt":[{"subitem_link_url":"https://hyokadb02.jimu.kyutech.ac.jp/html/133_ja.html"}]},"item_23_publisher_7":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Springer, Cham"}]},"item_23_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"info:doi/10.1007/978-3-319-60837-2_43","subitem_relation_type_select":"DOI"}}]},"item_23_relation_14":{"attribute_name":"情報源","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"https://doi.org/10.1007/978-3-319-60837-2_43"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1007/978-3-319-60837-2_43","subitem_relation_type_select":"DOI"}}]},"item_23_relation_9":{"attribute_name":"ISBN","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"978-3-319-60836-5","subitem_relation_type_select":"ISBN"}},{"subitem_relation_type_id":{"subitem_relation_type_id_text":"978-3-319-60837-2","subitem_relation_type_select":"ISBN"}}]},"item_23_rights_13":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyright (c) Springer International Publishing AG 2017"},{"subitem_rights":"The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-60837-2_43"}]},"item_23_select_59":{"attribute_name":"査読の有無","attribute_value_mlt":[{"subitem_select_item":"yes"}]},"item_23_text_28":{"attribute_name":"論文ID（連携）","attribute_value_mlt":[{"subitem_text_value":"10305669"}]},"item_23_text_37":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Graduate School of EngineeringKyushu Institute of Technology"},{"subitem_text_value":"Faculty of Management and Information ScienceJosai International University"},{"subitem_text_value":"Department of Computer and Information SciencesUniversiti Teknologi PETRONAS"}]},"item_23_text_62":{"attribute_name":"連携ID","attribute_value_mlt":[{"subitem_text_value":"6205"}]},"item_23_version_type_58":{"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":[{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":"","affiliationNameLang":"ja"}]}],"creatorNames":[{"creatorName":"Sakai, H","creatorNameLang":"en"},{"creatorName":"酒井, 浩","creatorNameLang":"ja"},{"creatorName":"サカイ, ヒロシ","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{},{},{}]},{"creatorNames":[{"creatorName":"Nakata,  Michinori"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Watada,  Junzo"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2018-06-22"}],"displaytype":"detail","filename":"ijcrs_535_551.pdf","filesize":[{"value":"1.3 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"ijcrs_535_551.pdf","url":"https://kyutech.repo.nii.ac.jp/record/5624/files/ijcrs_535_551.pdf"},"version_id":"fc25342d-ccb9-41f9-9580-43a59805883e"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Machine learning by rule generation","subitem_subject_scheme":"Other"},{"subitem_subject":"Uncertainty","subitem_subject_scheme":"Other"},{"subitem_subject":"NIS-Apriori algorithm","subitem_subject_scheme":"Other"},{"subitem_subject":"SQL","subitem_subject_scheme":"Other"},{"subitem_subject":"Prototype","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"conference paper","resourceuri":"http://purl.org/coar/resource_type/c_5794"}]},"item_title":"A Proposal of Machine Learning by Rule Generation from Tables with Non-deterministic Information and Its Prototype System","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"A Proposal of Machine Learning by Rule Generation from Tables with Non-deterministic Information and Its Prototype System"}]},"item_type_id":"23","owner":"3","path":["20"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-06-22"},"publish_date":"2018-06-22","publish_status":"0","recid":"5624","relation_version_is_last":true,"title":["A Proposal of Machine Learning by Rule Generation from Tables with Non-deterministic Information and Its Prototype System"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2023-10-25T08:13:40.151254+00:00"}