ログイン
言語:

WEKO3

  • トップ
  • コミュニティ
  • ランキング
AND
To
lat lon distance
To

Field does not validate



インデックスリンク

インデックスツリー

メールアドレスを入力してください。

WEKO

One fine body…

WEKO

One fine body…

アイテム

{"_buckets": {"deposit": "3a59d403-2fdb-4449-b34f-503c35828247"}, "_deposit": {"id": "18615", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "18615"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00018615"}, "item_10_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2014-07", "bibliographicIssueDateType": "Issued"}, "bibliographicPageEnd": "993", "bibliographicPageStart": "988", "bibliographic_titles": [{"bibliographic_title": "2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)"}]}]}, "item_10_description_4": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "In the field of marketing, a questionnaire is one of the most important approaches in order to research the market or to design a marketing strategy. On the other hand, people have a variety of individuality recently, then respondents have various impressions on evaluation objects. In the analysis of collected questionnaire data, it is important not only to analyze overall trends but also to discover minority groups which have strong impressions but are different from general groups. It is, however, difficult to extract minority groups by conventional cluster analysis applied to questionnaire data, because they generally aim at extracting majority groups or making a rough clustering. In this paper, we propose the extraction method of minority groups in questionnaire data using the spectral clustering method which considers local similarity and extracts the clusters having less connection to general groups.", "subitem_description_type": "Abstract"}]}, "item_10_description_5": {"attribute_name": "\u5185\u5bb9\u8a18\u8ff0", "attribute_value_mlt": [{"subitem_description": "2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014), July 6-11, 2014, Beijing International Convention Center, Beijing, China (WCCI 2014)", "subitem_description_type": "Other"}]}, "item_10_identifier_60": {"attribute_name": "URI", "attribute_value_mlt": [{"subitem_identifier_type": "DOI", "subitem_identifier_uri": "http://dx.doi.org/10.1109/FUZZ-IEEE.2014.6891730"}, {"subitem_identifier_type": "HDL", "subitem_identifier_uri": "http://hdl.handle.net/2237/20713"}]}, "item_10_publisher_32": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "IEEE"}]}, "item_10_relation_8": {"attribute_name": "ISBN", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "978-1-4799-2073-0", "subitem_relation_type_select": "ISBN"}}]}, "item_10_rights_12": {"attribute_name": "\u6a29\u5229", "attribute_value_mlt": [{"subitem_rights": "\u00a9 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works."}]}, "item_10_select_15": {"attribute_name": "\u8457\u8005\u7248\u30d5\u30e9\u30b0", "attribute_value_mlt": [{"subitem_select_item": "author"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Inagaki, Kazuto"}], "nameIdentifiers": [{"nameIdentifier": "54116", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Yoshikawa, Tomohiro"}], "nameIdentifiers": [{"nameIdentifier": "54117", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Furuhashi, Takeshi"}], "nameIdentifiers": [{"nameIdentifier": "54118", "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": "9_A_Study_on_Extraction_of_Minority_Groups.pdf", "filesize": [{"value": "502.1 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 502100.0, "url": {"label": "9_A_Study_on_Extraction_of_Minority_Groups.pdf", "url": "https://nagoya.repo.nii.ac.jp/record/18615/files/9_A_Study_on_Extraction_of_Minority_Groups.pdf"}, "version_id": "9bb7ee7b-57fc-4ec1-bb98-300318906b03"}]}, "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": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "A Study on Extraction of Minority Groups in Questionnaire Data based on Spectral Clustering", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "A Study on Extraction of Minority Groups in Questionnaire Data based on Spectral Clustering"}]}, "item_type_id": "10", "owner": "1", "path": ["320/502/503"], "permalink_uri": "http://hdl.handle.net/2237/20713", "pubdate": {"attribute_name": "\u516c\u958b\u65e5", "attribute_value": "2014-11-06"}, "publish_date": "2014-11-06", "publish_status": "0", "recid": "18615", "relation": {}, "relation_version_is_last": true, "title": ["A Study on Extraction of Minority Groups in Questionnaire Data based on Spectral Clustering"], "weko_shared_id": null}
  1. B200 工学部/工学研究科
  2. B200e 会議資料
  3. 国際会議

A Study on Extraction of Minority Groups in Questionnaire Data based on Spectral Clustering

http://hdl.handle.net/2237/20713
c4a7173f-1667-4add-b7aa-44e59b79fa0a
名前 / ファイル ライセンス アクション
9_A_Study_on_Extraction_of_Minority_Groups.pdf 9_A_Study_on_Extraction_of_Minority_Groups.pdf (502.1 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2014-11-06
タイトル
タイトル A Study on Extraction of Minority Groups in Questionnaire Data based on Spectral Clustering
著者 Inagaki, Kazuto

× Inagaki, Kazuto

WEKO 54116

Inagaki, Kazuto

Search repository
Yoshikawa, Tomohiro

× Yoshikawa, Tomohiro

WEKO 54117

Yoshikawa, Tomohiro

Search repository
Furuhashi, Takeshi

× Furuhashi, Takeshi

WEKO 54118

Furuhashi, Takeshi

Search repository
権利
権利情報 © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
抄録
内容記述 In the field of marketing, a questionnaire is one of the most important approaches in order to research the market or to design a marketing strategy. On the other hand, people have a variety of individuality recently, then respondents have various impressions on evaluation objects. In the analysis of collected questionnaire data, it is important not only to analyze overall trends but also to discover minority groups which have strong impressions but are different from general groups. It is, however, difficult to extract minority groups by conventional cluster analysis applied to questionnaire data, because they generally aim at extracting majority groups or making a rough clustering. In this paper, we propose the extraction method of minority groups in questionnaire data using the spectral clustering method which considers local similarity and extracts the clusters having less connection to general groups.
内容記述タイプ Abstract
内容記述
内容記述 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014), July 6-11, 2014, Beijing International Convention Center, Beijing, China (WCCI 2014)
内容記述タイプ Other
出版者
出版者 IEEE
言語
言語 eng
資源タイプ
資源タイプresource http://purl.org/coar/resource_type/c_6501
タイプ journal article
ISBN
関連識別子
識別子タイプ ISBN
関連識別子 978-1-4799-2073-0
書誌情報 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

p. 988-993, 発行日 2014-07
著者版フラグ
値 author
URI
識別子 http://dx.doi.org/10.1109/FUZZ-IEEE.2014.6891730
識別子タイプ DOI
URI
識別子 http://hdl.handle.net/2237/20713
識別子タイプ HDL
戻る
0
views
See details
Views

Versions

Ver.1 2021-03-01 16:35:35.113747
Show All versions

Share

Mendeley CiteULike Twitter Facebook Print Addthis

Cite as

Export

OAI-PMH
  • OAI-PMH JPCOAR
  • OAI-PMH DublinCore
  • OAI-PMH DDI
Other Formats
  • JSON
  • BIBTEX

Confirm


Powered by CERN Data Centre & Invenio


Powered by CERN Data Centre & Invenio