ログイン
言語:

WEKO3

  • トップ
  • ランキング
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": "3fa2479b-9c40-454c-b091-9cb98c2e879e"}, "_deposit": {"id": "5904", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "5904"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00005904", "sets": ["733"]}, "author_link": ["15704", "15705", "15706"], "item_10_biblio_info_6": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2006-04", "bibliographicIssueDateType": "Issued"}, "bibliographicPageEnd": "40", "bibliographicPageStart": "40", "bibliographic_titles": [{"bibliographic_title": "Proceedings of the 22nd International Conference on Data Engineering Workshops (ICDEW\u002706)", "bibliographic_titleLang": "en"}]}]}, "item_10_description_4": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "Document clustering has been used as a core technique in managing vast amount of data and providing needed information. In on-line environments, generally new information gains more interests than old one. Traditional clustering focuses on grouping similar documents into clusters by treating each document with equal weight. We proposed a novelty-based incremental clustering method for on-line documents that has biases on recent documents. In the clustering method, the notion of \u0027novelty\u0027 is incorporated into a similarity function and a clustering method, a variant of the K-means method, is proposed. We examine the efficiency and behaviors of the method by experiments.", "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/2237/7520"}]}, "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/ICDEW.2006.100", "subitem_relation_type_select": "DOI"}}]}, "item_10_relation_8": {"attribute_name": "ISBN", "attribute_value_mlt": [{"subitem_relation_type": "isPartOf", "subitem_relation_type_id": {"subitem_relation_type_id_text": "0-7695-2571-7", "subitem_relation_type_select": "ISBN"}}]}, "item_10_rights_12": {"attribute_name": "権利", "attribute_value_mlt": [{"subitem_rights": "Copyright (c) 2006 IEEE. Reprinted from (relevant publication info). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Nagoya University’s products or services. Internal or 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 must be obtained from the IEEE by writing to pubs-permissions@ieee.org.", "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_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": "Khy, Sophoin", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "15704", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Ishikawa, Yoshiharu", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "15705", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Kitagawa, Hiroyuki", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "15706", "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": "2018-02-19"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "wiri2006.pdf", "filesize": [{"value": "355.0 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_note", "mimetype": "application/pdf", "size": 355000.0, "url": {"label": "wiri2006.pdf", "objectType": "fulltext", "url": "https://nagoya.repo.nii.ac.jp/record/5904/files/wiri2006.pdf"}, "version_id": "0b3c1435-3a80-40e8-a0bc-6e95f2a34ce0"}]}, "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": "Novelty-based Incremental Document Clustering for On-line Documents", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Novelty-based Incremental Document Clustering for On-line Documents", "subitem_title_language": "en"}]}, "item_type_id": "10", "owner": "1", "path": ["733"], "permalink_uri": "http://hdl.handle.net/2237/7520", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2007-03-29"}, "publish_date": "2007-03-29", "publish_status": "0", "recid": "5904", "relation": {}, "relation_version_is_last": true, "title": ["Novelty-based Incremental Document Clustering for On-line Documents"], "weko_shared_id": -1}
  1. M320 情報基盤センター
  2. M320e 会議資料
  3. 国際会議

Novelty-based Incremental Document Clustering for On-line Documents

http://hdl.handle.net/2237/7520
http://hdl.handle.net/2237/7520
5283b8d7-e125-4e52-b3a2-925e7400771a
名前 / ファイル ライセンス アクション
wiri2006.pdf wiri2006.pdf (355.0 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2007-03-29
タイトル
タイトル Novelty-based Incremental Document Clustering for On-line Documents
言語 en
著者 Khy, Sophoin

× Khy, Sophoin

WEKO 15704

en Khy, Sophoin

Search repository
Ishikawa, Yoshiharu

× Ishikawa, Yoshiharu

WEKO 15705

en Ishikawa, Yoshiharu

Search repository
Kitagawa, Hiroyuki

× Kitagawa, Hiroyuki

WEKO 15706

en Kitagawa, Hiroyuki

Search repository
アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
権利
言語 en
権利情報 Copyright (c) 2006 IEEE. Reprinted from (relevant publication info). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Nagoya University’s products or services. Internal or 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 must be obtained from the IEEE by writing to pubs-permissions@ieee.org.
抄録
内容記述 Document clustering has been used as a core technique in managing vast amount of data and providing needed information. In on-line environments, generally new information gains more interests than old one. Traditional clustering focuses on grouping similar documents into clusters by treating each document with equal weight. We proposed a novelty-based incremental clustering method for on-line documents that has biases on recent documents. In the clustering method, the notion of 'novelty' is incorporated into a similarity function and a clustering method, a variant of the K-means method, is proposed. We examine the efficiency and behaviors of the method by experiments.
言語 en
内容記述タイプ Abstract
出版者
言語 en
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
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 https://doi.org/10.1109/ICDEW.2006.100
ISBN
関連タイプ isPartOf
識別子タイプ ISBN
関連識別子 0-7695-2571-7
書誌情報 en : Proceedings of the 22nd International Conference on Data Engineering Workshops (ICDEW'06)

p. 40-40, 発行日 2006-04
フォーマット
application/pdf
著者版フラグ
値 publisher
URI
識別子 http://hdl.handle.net/2237/7520
識別子タイプ HDL
戻る
0
views
See details
Views

Versions

Ver.1 2021-03-01 13:04:18.101811
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Cite as

エクスポート

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

Confirm


Powered by WEKO3


Powered by WEKO3