{"created":"2023-05-15T08:08:20.351045+00:00","id":377,"links":{},"metadata":{"_buckets":{"deposit":"aaf9357f-32a8-4d52-908d-5317bd84e2a8"},"_deposit":{"created_by":7,"id":"377","owners":[7],"pid":{"revision_id":0,"type":"depid","value":"377"},"status":"published"},"_oai":{"id":"oai:gifu-cwc.repo.nii.ac.jp:00000377","sets":["7:25"]},"author_link":["899","709"],"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2004","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"94","bibliographicPageStart":"91","bibliographicVolumeNumber":"54","bibliographic_titles":[{"bibliographic_title":"岐阜市立女子短期大学研究紀要"},{"bibliographic_title":"Bulletin of Gifu City Women's College","bibliographic_titleLang":"en"}]}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Until now, factor analysis, etc. are used as an analysis procedure for clarifying the food consumption structure, and the food consumption structure has been clarified from the side of the extraction of the main factor child which regulates the caloric intake. In this report, it tried to be new using K-means method of cluster analysis. There were small eclipse type, conventional modernity the modernity, four meal types of the gluttony type as a result of the cluster analysis. Scales of those meal types were small eclipses type =36%, conventional =19%, modernity =34%, gluttony type =11%.","subitem_description_type":"Abstract"}]},"item_10002_description_6":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"Until now, factor analysis, etc. are used as an analysis procedure for clarifying the food consumption structure, and the food consumption structure has been clarified from the side of the extraction of the main factor child which regulates the caloric intake. In this report, it tried to be new using K-means method of cluster analysis. There were small eclipse type, conventional modernity the modernity, four meal types of the gluttony type as a result of the cluster analysis. Scales of those meal types were small eclipses type =36%, conventional =19%, modernity =34%, gluttony type =11%.","subitem_description_type":"Other"}]},"item_10002_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.24516/00000357","subitem_identifier_reg_type":"JaLC"}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"岐阜市立女子短期大学"}]},"item_10002_relation_12":{"attribute_name":"論文ID（NAID）","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"110004449232","subitem_relation_type_select":"NAID"}}]},"item_10002_source_id_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10208264","subitem_source_identifier_type":"NCID"}]},"item_10002_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"09163174","subitem_source_identifier_type":"ISSN"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"中島, 順一"},{"creatorName":"ナカジマ, ジュンイチ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{},{}]},{"creatorNames":[{"creatorName":"Nakajima, Junichi","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2020-10-31"}],"displaytype":"detail","filename":"kurasuta_nakajima.pdf","filesize":[{"value":"233.0 kB"}],"format":"application/pdf","licensetype":"license_11","mimetype":"application/pdf","url":{"label":"Kurasuta_Nakajima","url":"https://gifu-cwc.repo.nii.ac.jp/record/377/files/kurasuta_nakajima.pdf"},"version_id":"426fe74c-7bee-4c6a-8861-b6f2844e39d2"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"K-means method","subitem_subject_scheme":"Other"},{"subitem_subject":"cluster analysis","subitem_subject_scheme":"Other"},{"subitem_subject":"food consumption structure","subitem_subject_scheme":"Other"},{"subitem_subject":"K-means method","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"cluster analysis","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"food consumption structure","subitem_subject_language":"en","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":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"クラスター分析による食物消費構造解明の試み","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"クラスター分析による食物消費構造解明の試み"},{"subitem_title":"The trial of food consumption structure elucidation by the cluster analysis","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"7","path":["25"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-10-31"},"publish_date":"2020-10-31","publish_status":"0","recid":"377","relation_version_is_last":true,"title":["クラスター分析による食物消費構造解明の試み"],"weko_creator_id":"7","weko_shared_id":-1},"updated":"2023-05-15T08:44:09.747003+00:00"}