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Families of the Granules for Association Rules and Their Properties
http://hdl.handle.net/10228/00006130
http://hdl.handle.net/10228/000061307bc40caa-9221-4bed-b7b9-94b1f9e101b4
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
LNCS9436_175.pdf (325.3 kB)
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| Item type | 会議発表論文 = Conference Paper(1) | |||||
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| 公開日 | 2017-04-11 | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||
| 資源タイプ | conference paper | |||||
| タイトル | ||||||
| タイトル | Families of the Granules for Association Rules and Their Properties | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 著者 |
酒井, 浩
× 酒井, 浩× Liu, Chenxi× Nakata, Michinori |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | We employed the granule (or the equivalence class) defined by a descriptor in tables, and investigated rough set-based rule generation. In this paper, we consider the new granules defined by an implication, and propose a family of the granules defined by an implication in a table with exact data. Each family consists of the four granules, and we show that three criterion values, support, accuracy, and coverage, can easily be obtained by using the four granules. Then, we extend this framework to tables with non-deterministic data. In this case, each family consists of the nine granules, and the minimum and the maximum values of three criteria are also obtained by using the nine granules. We prove that there is a table causing support and accuracy the minimum, and generally there is no table causing support, accuracy, and coverage the minimum. Finally, we consider the application of these properties to Apriori-based rule generation from uncertain data. These properties will make Apriori-based rule generation more effective. | |||||
| 備考 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | 10th International Conference, RSKT 2015, Held as Part of the International Joint Conference on Rough Sets, IJCRS 2015, November 20-23, 2015, Tianjin, China | |||||
| 書誌情報 |
Lecture Notes in Computer Science 巻 9436, p. 175-187, 発行日 2015-11-22 |
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| 出版社 | ||||||
| 出版社 | Springer International Publishing | |||||
| DOI | ||||||
| 関連タイプ | isVersionOf | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | https://doi.org/10.1007/978-3-319-25754-9_16 | |||||
| ISBN | ||||||
| 識別子タイプ | ISBN | |||||
| 関連識別子 | 978-3-319-25753-2 | |||||
| NCID | ||||||
| 収録物識別子タイプ | NCID | |||||
| 収録物識別子 | AA0071599X | |||||
| ISSN | ||||||
| 収録物識別子タイプ | PISSN | |||||
| 収録物識別子 | 0302-9743 | |||||
| 著作権関連情報 | ||||||
| 権利情報 | Copyright (c) Springer International Publishing | |||||
| 著作権関連情報 | ||||||
| 権利情報 | The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-25754-9_16 | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Association rules | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Rule generation | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Apriori algorithm | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Granularity | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Uncertainty | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 出版タイプ | ||||||
| 出版タイプ | AM | |||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||
| 査読の有無 | ||||||
| 値 | yes | |||||
| 研究者情報 | ||||||
| URL | https://hyokadb02.jimu.kyutech.ac.jp/html/133_ja.html | |||||
| 論文ID（連携） | ||||||
| 値 | 10285228 | |||||
| 連携ID | ||||||
| 値 | 6073 | |||||
