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Interactive Outlier Detection Adaptive to Users' Intentions
https://ipsj.ixsq.nii.ac.jp/records/19223
https://ipsj.ixsq.nii.ac.jp/records/192239aa6096f-dd56-4b7c-a4e1-482f6a6d2d1d
| 名前 / ファイル | ライセンス | アクション |
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IPSJ-DBS04134009.pdf (926.6 kB)
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Copyright (c) 2004 by the Information Processing Society of Japan
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| オープンアクセス | ||
| Item type | SIG Technical Reports(1) | |||||||
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| 公開日 | 2004-07-13 | |||||||
| タイトル | ||||||||
| タイトル | Interactive Outlier Detection Adaptive to Users' Intentions | |||||||
| タイトル | ||||||||
| 言語 | en | |||||||
| タイトル | Interactive Outlier Detection Adaptive to Users' Intentions | |||||||
| 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_18gh | |||||||
| 資源タイプ | technical report | |||||||
| 著者所属 | ||||||||
| Graduate School of Systems and Information Engineering University of Tsukuba | ||||||||
| 著者所属 | ||||||||
| Graduate School of Systems and Information Engineering University of Tsukuba | ||||||||
| 著者所属 | ||||||||
| School of Computer Science Carnegie Mellon University | ||||||||
| 著者所属 | ||||||||
| School of Computer Science Carnegie Mellon University | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Graduate School of Systems and Information Engineering, University of Tsukuba | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Graduate School of Systems and Information Engineering, University of Tsukuba | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| School of Computer Science, Carnegie Mellon University | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| School of Computer Science, Carnegie Mellon University | ||||||||
| 著者名 |
Cui, Zhu
Hiroyuki, Kitagawa
Spiros, Papadimitriou
Christos, Faloutsos
× Cui, Zhu Hiroyuki, Kitagawa Spiros, Papadimitriou Christos, Faloutsos
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| 著者名(英) |
Cui, Zhu
Hiroyuki, Kitagawa
Spiros, Papadimitriou
Christos, Faloutsos
× Cui, Zhu Hiroyuki, Kitagawa Spiros, Papadimitriou Christos, Faloutsos
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| 論文抄録 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | Detecting outliers is an important but tricky problem since the preference of outlier-ness often depends on the user and/or the detaset. We have developed a system of detecting outliers that match users' intentions implied by outlier examples in prior work. In this paper we propose a new refined method of interactive outlier detection adaptive to users' intentions. | |||||||
| 論文抄録(英) | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | Detecting outliers is an important, but tricky problem, since the preference of outlier-ness often depends on the user and/or the detaset. We have developed a system of detecting outliers that match users' intentions implied by outlier examples in prior work. In this paper, we propose a new refined method of interactive outlier detection adaptive to users' intentions. | |||||||
| 書誌レコードID | ||||||||
| 収録物識別子タイプ | NCID | |||||||
| 収録物識別子 | AN10112482 | |||||||
| 書誌情報 |
情報処理学会研究報告データベースシステム（DBS） 巻 2004, 号 71(2004-DBS-134), p. 63-70, 発行日 2004-07-13 |
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| Notice | ||||||||
| SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. | ||||||||
| 出版者 | ||||||||
| 言語 | ja | |||||||
| 出版者 | 情報処理学会 | |||||||
