Extension of Decision Tree Algorithm for Stream Data Mining Using Real Data
5th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2009
208-212 頁
2009-11 発行
アクセス数 : 617 件
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今月のダウンロード数 : 1 件
この文献の参照には次のURLをご利用ください : https://ir.lib.hiroshima-u.ac.jp/00028425
| ファイル情報(添付) | |
| タイトル ( eng ) |
Extension of Decision Tree Algorithm for Stream Data Mining Using Real Data
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| 作成者 |
Minegishi Tatsuya
Ise Masayuki
Niimi Ayahiko
Konishi Osamu
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| 収録物名 |
5th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2009
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| 開始ページ | 208 |
| 終了ページ | 212 |
| 抄録 |
Recently, because of increasing amount of data in the society, data stream mining targeting large scale data has attracted attention. The data mining is a technology of discovery new knowledge and patterns from the massive amounts of data, and what the data correspond to data stream is data stream mining. In this paper, we propose the feature selection with online decision tree. At first, we construct online type decision tree to regard credit card transaction data as data stream on data stream mining. At second, we select attributes thought to be important for detection of illegal use. We apply VFDT (Very Fast Decision Tree learner) algorithm to online type decision tree construction.
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| NDC分類 |
技術・工学 [ 500 ]
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| 言語 |
英語
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| 資源タイプ | 会議発表論文 |
| 出版者 |
IEEE SMC Hiroshima Chapter
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| 発行日 | 2009-11 |
| 権利情報 |
(c) Copyright by IEEE SMC Hiroshima Chapter.
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| 出版タイプ | Version of Record（出版社版。早期公開を含む） |
| アクセス権 | オープンアクセス |
| 収録物識別子 |
[ISSN] 1883-3977
[URI] http://www.hil.hiroshima-u.ac.jp/iwcia/2009/
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