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A Query Language and Its Processing for Time-Series Document Clusters
http://hdl.handle.net/2237/10689
http://hdl.handle.net/2237/10689f3cdc545-b1c5-49e0-ba99-eafc48c98827
名前 / ファイル | ライセンス | アクション |
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2008-12-05 | |||||
タイトル | ||||||
タイトル | A Query Language and Its Processing for Time-Series Document Clusters | |||||
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 | The original publication is available at www.springerlink.com. | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | cluster graph | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | cluster transition | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | clustering result | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | graphquery | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | query language | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | query processing | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | transition pattern | |||||
抄録 | ||||||
内容記述 | Document clustering methods for time-series documents produce a sequence of snapshots of clustering results over time. Analyzing the contents (topics) and trends in a long sequence of clustering snapshots is hard and requires efforts since there are too many number of clusters; a user may need to access every cluster or read every document contained in each cluster. In this paper, we propose a framework to find clusters of user interest and change patterns called transition patterns involving the clusters. A cluster in a clustering result may persist in another cluster, branch into more than one cluster, merge with other clusters to form one cluster, or disappear in the adjacent clustering result. This research aims at providing users facilities to retrieve specific transition patterns in the clustering results. For this purpose, we propose a query language for time-series document clustering results and an approach to query processing. The first experimental results on TDT2 corpus clustering results are presented. | |||||
言語 | en | |||||
内容記述タイプ | Abstract | |||||
出版者 | ||||||
言語 | en | |||||
出版者 | Springer-Verlag | |||||
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 | AM | |||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||
ISSN | ||||||
収録物識別子タイプ | PISSN | |||||
収録物識別子 | 03029743 | |||||
書誌情報 |
en : Lecture Notes in Computer Science 巻 5362, p. 82-92, 発行日 2008-12 |
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フォーマット | ||||||
application/pdf | ||||||
著者版フラグ | ||||||
値 | author | |||||
URI | ||||||
識別子 | http://hdl.handle.net/2237/10689 | |||||
識別子タイプ | HDL |