{"_buckets": {"deposit": "bba6baaa-234b-4090-b79d-fb3e4ed5541b"}, "_deposit": {"id": "12082", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "12082"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00012082", "sets": ["322"]}, "author_link": ["38336", "38337", "38338"], "item_10_biblio_info_6": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2009-08-20", "bibliographicIssueDateType": "Issued"}, "bibliographicPageEnd": "103", "bibliographicPageStart": "98", "bibliographic_titles": [{"bibliographic_title": "IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2009)", "bibliographic_titleLang": "en"}]}]}, "item_10_description_4": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "Several kinds of values have been employed with respect to the diversification of individuality in the market. Some of these values are currently supported by only a few people, who are referred to as a ldquominority grouprdquo. However, there is the possibility that such groups will grow into majority groups with changes in historical background or people\u0027s sensitivity. It is both important and effective for market analysis to determine these minority groups at an early stage. Companies often employ questionnaires to develop marketing strategies or design new products, which offer a chance to determine these minority groups. With conventional methods, respondents to a questionnaire are classified based on such attributes as gender and age, and then the classified groups are analyzed or compared. Although conventional analysis is effective for grasping the overall tendency of the evaluation data, it is difficult to determine minority groups because of the diversity of individuality. On the other hand, we have proposed clustering methods based on the tendencies of the answers to the questionnaire. This paper proposes a new method for visualizing the evaluated data based on both the obtained values and their correlation with cluster respondents interactively in the visible space. This paper applies the proposed method to Web questionnaire data and shows that an analysis of the results effectively assists us to determine minority groups.", "subitem_description_language": "en", "subitem_description_type": "Abstract"}]}, "item_10_identifier_60": {"attribute_name": "URI", "attribute_value_mlt": [{"subitem_identifier_type": "HDL", "subitem_identifier_uri": "http://hdl.handle.net/2237/13960"}, {"subitem_identifier_type": "DOI", "subitem_identifier_uri": "http://dx.doi.org/10.1109/FUZZY.2009.5277094"}]}, "item_10_publisher_32": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "IEEE", "subitem_publisher_language": "en"}]}, "item_10_relation_11": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type": "isVersionOf", "subitem_relation_type_id": {"subitem_relation_type_id_text": "https://doi.org/10.1109/FUZZY.2009.5277094", "subitem_relation_type_select": "DOI"}}]}, "item_10_rights_12": {"attribute_name": "権利", "attribute_value_mlt": [{"subitem_rights": "©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.", "subitem_rights_language": "en"}]}, "item_10_select_15": {"attribute_name": "著者版フラグ", "attribute_value_mlt": [{"subitem_select_item": "publisher"}]}, "item_10_source_id_7": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "1098-7584", "subitem_source_identifier_type": "PISSN"}]}, "item_10_text_14": {"attribute_name": "フォーマット", "attribute_value_mlt": [{"subitem_text_value": "application/pdf"}]}, "item_1615787544753": {"attribute_name": "出版タイプ", "attribute_value_mlt": [{"subitem_version_resource": "http://purl.org/coar/version/c_970fb48d4fbd8a85", "subitem_version_type": "VoR"}]}, "item_access_right": {"attribute_name": "アクセス権", "attribute_value_mlt": [{"subitem_access_right": "open access", "subitem_access_right_uri": "http://purl.org/coar/access_right/c_abf2"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Watanabe, Yosuke", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "38336", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Yoshikawa, Tomohiro", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "38337", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Furuhashi, Takeshi", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "38338", "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": "2018-02-20"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "watanabe.pdf", "filesize": [{"value": "1.0 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_note", "mimetype": "application/pdf", "size": 1000000.0, "url": {"label": "watanabe.pdf", "objectType": "fulltext", "url": "https://nagoya.repo.nii.ac.jp/record/12082/files/watanabe.pdf"}, "version_id": "14ceb4de-d55e-4ab6-8cbf-d0c9e90682e7"}]}, "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": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "Study on analysis of questionnaire data based on interactive clustering", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Study on analysis of questionnaire data based on interactive clustering", "subitem_title_language": "en"}]}, "item_type_id": "10", "owner": "1", "path": ["322"], "permalink_uri": "http://hdl.handle.net/2237/13960", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2010-08-04"}, "publish_date": "2010-08-04", "publish_status": "0", "recid": "12082", "relation": {}, "relation_version_is_last": true, "title": ["Study on analysis of questionnaire data based on interactive clustering"], "weko_shared_id": -1}