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Rules and Apriori Algorithm in Non-deterministic Information Systems
http://hdl.handle.net/10228/00006101
http://hdl.handle.net/10228/0000610142b4e493-e4a4-4423-ba54-5c44dd16eab0
| 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 | 2017-04-06 | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| タイトル | ||||||
| タイトル | Rules and Apriori Algorithm in Non-deterministic Information Systems | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 著者 |
酒井, 浩
× 酒井, 浩× Ishibashi, Ryuji× Koba, Kazuhiro× Nakata, Michinori |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | This paper presents a framework of rule generation in Non-deterministic Information Systems (NISs), which follows rough sets based rule generation in Deterministic Information Systems (DISs). Our previous work about NISs coped with certain rules, minimal certain rules and possible rules. These rules are characterized by the concept of consistency. This paper relates possible rules to rules by the criteria support and accuracy in NISs. On the basis of the information incompleteness in NISs, it is possible to define new criteria, i.e., minimum support, maximum support, minimum accuracy and maximum accuracy. Then, two strategies of rule generation are proposed based on these criteria. The first strategy is Lower Approximation strategy, which defines rule generation under the worst condition. The second strategy is Upper Approximation strategy, which defines rule generation under the best condition. To implement these strategies, we extend Apriori algorithm in DISs to Apriori algorithm in NISs. A prototype system is implemented, and this system is applied to some data sets with incomplete information. | |||||
| 言語 | en | |||||
| 書誌情報 |
en : Lecture Notes in Computer Science 巻 5390, p. 328-350, 発行日 2008 |
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| 出版社 | ||||||
| 出版者 | Springer | |||||
| DOI | ||||||
| 関連タイプ | isVersionOf | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | https://doi.org/10.1007/978-3-540-89876-4_18 | |||||
| ISBN | ||||||
| 識別子タイプ | ISBN | |||||
| 関連識別子 | 978-3-540-89875-7 | |||||
| ISBN | ||||||
| 識別子タイプ | ISBN | |||||
| 関連識別子 | 978-3-540-89876-4 | |||||
| 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 | |||||
| ISSN | ||||||
| 収録物識別子タイプ | EISSN | |||||
| 収録物識別子 | 1611-3349 | |||||
| 著作権関連情報 | ||||||
| 権利情報 | Copyright (c) 2008 Springer-Verlag Berlin Heidelberg. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-540-89876-4_18 | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Rough sets | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Non-deterministic information | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Incomplete information | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Rule generation | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Lower and upper approximations | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Apriori algorithm | |||||
| 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 | 10022193 | |||||
| 連携ID | ||||||
| 値 | 6076 | |||||