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Mining from Semi - structured Data and Knowledge Integration
https://ipsj.ixsq.nii.ac.jp/records/19752
https://ipsj.ixsq.nii.ac.jp/records/19752d53379fc-6402-4e38-9b17-a6933626fe5c
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-DBS99120004.pdf (805.9 kB)
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Copyright (c) 2000 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 | 2000-01-24 | |||||||
| タイトル | ||||||||
| タイトル | Mining from Semi - structured Data and Knowledge Integration | |||||||
| タイトル | ||||||||
| 言語 | en | |||||||
| タイトル | Mining from Semi - structured Data and Knowledge Integration | |||||||
| 言語 | ||||||||
| 言語 | jpn | |||||||
| 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 Science and Technology Kobe University | ||||||||
| 著者所属 | ||||||||
| Research Center for Urban Safety and Security Kobe University | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Graduate School of Science and Technology, Kobe University | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Research Center for Urban Safety and Security, Kobe University | ||||||||
| 著者名 |
KOHEI, MARUYAMA
× KOHEI, MARUYAMA
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| 著者名(英) |
Kohei, Maruyama
× Kohei, Maruyama
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| 論文抄録 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | Despite the growing popularity of semi-structured data such as Web documents most knowledge discovery research has focused on databases containing well structured data. In this paper we try to find useful information from semi-structured data. In our approach we begin by representing semi-structured data in a prototype-based approach then detect the typical structure of object sets. Next we apply the algorithm of mining association rules to structured layer by using the idea of concept hierarchy. Furthermore relationships between concepts are defined and data values are not only generalized but also specialized for more flexible knowledge mining. | |||||||
| 論文抄録(英) | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | Despite the growing popularity of semi-structured data such as Web documents, most knowledge discovery research has focused on databases containing well structured data. In this paper, we try to find useful information from semi-structured data. In our approach, we begin by representing semi-structured data in a prototype-based approach, then detect the typical structure of object sets. Next, we apply the algorithm of mining association rules to structured layer by using the idea of concept hierarchy. Furthermore, relationships between concepts are defined and data values are not only generalized but also specialized for more flexible knowledge mining. | |||||||
| 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 2000, 号 10(1999-DBS-120), p. 21-28, 発行日 2000-01-24 |
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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 | |||||||
