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K-Dominant Skyline Computation by Using Sort-Filtering Method
https://hiroshima.repo.nii.ac.jp/records/2000318
https://hiroshima.repo.nii.ac.jp/records/2000318c7532a82-e6c5-43da-b46c-2da18bcaa054
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
PAKDD_2009_839.pdf (327.0 KB)
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| Item type | デフォルトアイテムタイプ_（フル）(1) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 公開日 | 2023-03-18 | |||||||||
| タイトル | ||||||||||
| タイトル | K-Dominant Skyline Computation by Using Sort-Filtering Method | |||||||||
| 言語 | en | |||||||||
| 作成者 |
Siddique, Md. Anisuzzaman
× Siddique, Md. Anisuzzaman
× Morimoto, Yasuhiko
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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 | |||||||||
| 権利情報 | ||||||||||
| 権利情報 | Copyright (c) 2009 Springer | |||||||||
| 主題 | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | k-Dominant Skyline | |||||||||
| 主題 | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | Domination Power | |||||||||
| 主題 | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | Sort-Filtering | |||||||||
| 主題 | ||||||||||
| 主題Scheme | NDC | |||||||||
| 主題 | 000 | |||||||||
| 内容記述 | ||||||||||
| 内容記述 | Skyline queries are useful in many applications such as multi-criteria decision making, data mining, and user preference queries. A skyline query returns a set of interesting data objects that are not dominated in all dimensions by any other objects. For a high-dimensional database, sometimes it returns too many data objects to analyze intensively. To reduce the number of returned objects and to find more important and meaningful objects, we consider a problem of k-dominant skyline queries. Given an n-dimensional database, an object p is said to k-dominates another object q if there are (k <= n) dimensions in which p is better than or equal to q. A k-dominant, skyline object is an object that is not k-dominated by any other objects. In contrast, conventional skyline objects are n-dominant objects. We propose an efficient method for computing k-dominant skyline queries. Intensive performance study using real and synthetic datasets demonstrated that our method is efficient and scalable. | |||||||||
| 言語 | en | |||||||||
| 出版者 | ||||||||||
| 出版者 | Springer-Verlag Berlin | |||||||||
| 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_2f33 | |||||||||
| 資源タイプ | book | |||||||||
| 出版タイプ | ||||||||||
| 出版タイプ | AO | |||||||||
| 出版タイプResource | http://purl.org/coar/version/c_b1a7d7d4d402bcce | |||||||||
| 関連情報 | ||||||||||
| 関連名称 | The original publication is available at www.springerlink.com | |||||||||
| 関連情報 | ||||||||||
| 識別子タイプ | DOI | |||||||||
| 関連識別子 | 10.1007/978-3-642-01307-2_87 | |||||||||
| 関連情報 | ||||||||||
| 識別子タイプ | DOI | |||||||||
| 関連識別子 | http://dx.doi.org/10.1007/978-3-642-01307-2_87 | |||||||||
| 収録物識別子 | ||||||||||
| 収録物識別子タイプ | ISSN | |||||||||
| 収録物識別子 | 0302-9743 | |||||||||
| 収録物識別子 | ||||||||||
| 収録物識別子タイプ | NCID | |||||||||
| 収録物識別子 | AA0071599X | |||||||||
| 開始ページ | ||||||||||
| 開始ページ | 839 | |||||||||
| 書誌情報 |
Advances in Knoeledge Didcovery and Data Mining, Proceedings Advances in Knoeledge Didcovery and Data Mining, Proceedings 巻 5476, p. 839-848, 発行日 2009-04-21 |
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| 旧ID | 28867 | |||||||||
