{"created":"2023-06-19T11:41:19.578782+00:00","id":10048,"links":{},"metadata":{"_buckets":{"deposit":"597ae573-d262-48df-9583-fc2ba37299f7"},"_deposit":{"created_by":13,"id":"10048","owners":[13],"pid":{"revision_id":0,"type":"depid","value":"10048"},"status":"published"},"_oai":{"id":"oai:mie-u.repo.nii.ac.jp:00010048","sets":["366:676:677"]},"author_link":["24866","24867","24868","24869","24870"],"item_1706510172288":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Han, Xuexian","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Zu, Guowei","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ohyama, Wataru","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Wakabayashi, Tetsushi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kimura, Fumitaka","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_3_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2004-01-01","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"463","bibliographicPageStart":"458","bibliographicVolumeNumber":"3309"}]},"item_3_description_14":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_3_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"In this paper, we describe a comparative study on techniques of feature transformation and classification to improve the accuracy of automatic text classification. The normalization to the relative word frequency, the principal component analysis (K-L transformation) and the power transformation were applied to the feature vectors, which were classified by the Euclidean distance, the linear discriminant function, the projection distance, the modified projection distance and the SVM. In order to improve the classification accuracy, the multi-classifier combination by majority vote was employed.","subitem_description_type":"Abstract"}]},"item_3_description_5":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"Berlin ; New York","subitem_description_type":"Other"},{"subitem_description":"501","subitem_description_type":"Other"},{"subitem_description":"Content computing : Advanced Workshop on Content Computing, AWCC 2004, ZhenJiang, JiangSu, China, November 15-17, 2004 : proceedings","subitem_description_type":"Other"},{"subitem_description":"Lecture Notes in Computer Science","subitem_description_type":"Other"}]},"item_3_publisher_30":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Springer"}]},"item_3_relation_11":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"10.1007/b103383","subitem_relation_type_select":"DOI"}}]},"item_3_relation_37":{"attribute_name":"関係URI","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"http://www.springerlink.com/content/fh3d7rnpj4mbb6gu/?p=3bfebeee8d214f8cac5e3e0b684614f7π=13"}]}]},"item_3_relation_8":{"attribute_name":"ISBN","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"9783540238980","subitem_relation_type_select":"ISBN"}}]},"item_3_source_id_7":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"0302-9743","subitem_source_identifier_type":"PISSN"}]},"item_3_subject_16":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"007","subitem_subject_scheme":"NDC"}]},"item_3_text_63":{"attribute_name":"ノート","attribute_value_mlt":[{"subitem_text_value":"出版者版電子ジャーナルあり"}]},"item_3_text_65":{"attribute_name":"資源タイプ（三重大）","attribute_value_mlt":[{"subitem_text_value":"Conference Paper / 会議発表論文"}]},"item_3_version_type_15":{"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_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-02-20"}],"displaytype":"detail","filename":"40A12191.pdf","filesize":[{"value":"352.2 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"40A12191.pdf","url":"https://mie-u.repo.nii.ac.jp/record/10048/files/40A12191.pdf"},"version_id":"0ffda430-d6d9-405a-bd0c-74d1483c8920"}]},"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":"Accuracy improvement of automatic text classification based on feature transformation and multi-classifier combination","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Accuracy improvement of automatic text classification based on feature transformation and multi-classifier combination","subitem_title_language":"en"}]},"item_type_id":"3","owner":"13","path":["677"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2010-05-24"},"publish_date":"2010-05-24","publish_status":"0","recid":"10048","relation_version_is_last":true,"title":["Accuracy improvement of automatic text classification based on feature transformation and multi-classifier combination"],"weko_creator_id":"13","weko_shared_id":-1},"updated":"2024-01-30T00:37:36.294570+00:00"}