Learning higher accuracy decision trees from concept drifting data streams

Satoru Nishimura, Masahiro Terabe, Kazuo Hashimoto, Koichiro Mihara

研究成果: Conference contribution

8 引用 (Scopus)

抜粋

In this paper, we propose to combine the naive-Bayes approach with CVFDT, which is known as one of the major algorithms to induce a high-accuracy decision tree from time-changing data streams. The proposed improvement, called CVFDTNBC, induces a decision tree as CVFDT does, but contains naive-Bayes classifiers in the leaf nodes of the induced decision tree. The experiment using the artificially generated time-changing data streams shows that CVFDTNBC can induce a decision tree with more accuracy than CVFDT does.

元の言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ページ179-188
ページ数10
5027 LNAI
DOI
出版物ステータスPublished - 2008
外部発表Yes
イベント21st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2008 - Wroclaw
継続期間: 2008 6 182008 6 20

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5027 LNAI
ISSN(印刷物)03029743
ISSN(電子版)16113349

Other

Other21st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2008
Wroclaw
期間08/6/1808/6/20

    フィンガープリント

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

これを引用

Nishimura, S., Terabe, M., Hashimoto, K., & Mihara, K. (2008). Learning higher accuracy decision trees from concept drifting data streams. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (巻 5027 LNAI, pp. 179-188). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 5027 LNAI). https://doi.org/10.1007/978-3-540-69052-8_19