{"_buckets": {"deposit": "c4b5310c-e747-4e28-9fb3-ffd5b09eb2d6"}, "_deposit": {"id": "18761", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "18761"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00018761"}, "item_18_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2012-11", "bibliographicIssueDateType": "Issued"}, "bibliographicPageEnd": "2236", "bibliographicPageStart": "2233", "bibliographic_titles": [{"bibliographic_title": "2012 Joint 6th International Conference on Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS)"}]}]}, "item_18_description_4": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "The opportunity that we want to search target document(s) among a large amount of electronic documents such as WEB information and documents inputted by document scanner will be more increasing in near future. We focus on the method that applies the distribution pattern of the keyword frequency in documents to the classification of the documents. In this paper, we propose the method that uses the correspondence analysis for the classification of documents based on the similarity of the keyword pattern among them. We apply the proposed method to the data of patents of Nagoya University, and report the result of the accuracy for the classification. The experimental result shows that we can classify the related patents to the inputted keyword by a user.", "subitem_description_type": "Abstract"}]}, "item_18_description_5": {"attribute_name": "\u5185\u5bb9\u8a18\u8ff0", "attribute_value_mlt": [{"subitem_description": "2012 Joint 6th International Conference on Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS) (SCIS-ISIS 2012). November 20-24, 2012, Kobe, Japan", "subitem_description_type": "Other"}]}, "item_18_identifier_60": {"attribute_name": "URI", "attribute_value_mlt": [{"subitem_identifier_type": "HDL", "subitem_identifier_uri": "http://hdl.handle.net/2237/20857"}]}, "item_18_select_15": {"attribute_name": "\u8457\u8005\u7248\u30d5\u30e9\u30b0", "attribute_value_mlt": [{"subitem_select_item": "publisher"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "SUZUKI, Makoto"}], "nameIdentifiers": [{"nameIdentifier": "54729", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "YOSHIKAWA, Tomohiro"}], "nameIdentifiers": [{"nameIdentifier": "54730", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "FURUHASHI, Takeshi"}], "nameIdentifiers": [{"nameIdentifier": "54731", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "\u30d5\u30a1\u30a4\u30eb\u60c5\u5831", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2018-02-21"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "48-Support_Method_for_Reference_of_Documents.pdf", "filesize": [{"value": "308.8 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 308800.0, "url": {"label": "48-Support_Method_for_Reference_of_Documents.pdf", "url": "https://nagoya.repo.nii.ac.jp/record/18761/files/48-Support_Method_for_Reference_of_Documents.pdf"}, "version_id": "220b87e2-597f-4dfd-98d7-c0e9f379f378"}]}, "item_keyword": {"attribute_name": "\u30ad\u30fc\u30ef\u30fc\u30c9", "attribute_value_mlt": [{"subitem_subject": "Classification of Documents", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Correspondence Analysis", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Pattern of Keyword Frequency", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Patent", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Document Search", "subitem_subject_scheme": "Other"}]}, "item_language": {"attribute_name": "\u8a00\u8a9e", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"resourcetype": "conference paper", "resourceuri": "http://purl.org/coar/resource_type/c_5794"}]}, "item_title": "Support Method for Reference of Documents based on Correspondence Analysis", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "Support Method for Reference of Documents based on Correspondence Analysis", "subitem_title_language": "en"}]}, "item_type_id": "18", "owner": "1", "path": ["320/502/503"], "permalink_uri": "http://hdl.handle.net/2237/20857", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2014-11-21"}, "publish_date": "2014-11-21", "publish_status": "0", "recid": "18761", "relation": {}, "relation_version_is_last": true, "title": ["Support Method for Reference of Documents based on Correspondence Analysis"], "weko_shared_id": null}