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Novelty-based Incremental Document Clustering for On-line Documents
http://hdl.handle.net/2237/7520
http://hdl.handle.net/2237/75205283b8d7-e125-4e52-b3a2-925e7400771a
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
wiri2006.pdf (355.0 kB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
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| 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× Ishikawa, Yoshiharu× Kitagawa, Hiroyuki |
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| 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 | ||||||
| 内容記述タイプ | Abstract | |||||
| 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 | |||||
| 出版者 | ||||||
| 出版者 | IEEE | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | 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 |
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| フォーマット | ||||||
| 値 | 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 | |||||
