Quick adaptation to changing concepts by sensitive detection

Yoshiaki Yasumura, Naho Kitani, Kuniaki Uehara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In mining data streams, one of the most challenging tasks is adapting to concept change, that is change over time of the underlying concept in the data. In this paper, we propose a novel ensemble framework for mining concept-changing data streams. This algorithm, called QACC (Quick Adaptation to Changing Concepts), realizes quick adaptation to changing concepts using an ensemble of classifiers. For quick adaptation, QACC sensitively detects concept changes in noisy streaming data. Empirical studies show that the QACC algorithm is efficient for various concept changes.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages855-864
Number of pages10
Volume4570 LNAI
Publication statusPublished - 2007
Externally publishedYes
Event20th International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems, lEA/AlE-2007 - Kyoto
Duration: 2007 Jun 262007 Jun 29

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4570 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other20th International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems, lEA/AlE-2007
CityKyoto
Period07/6/2607/6/29

Fingerprint

Data mining
Classifiers

Keywords

  • Classifier ensemble
  • Concept change
  • Data streams

ASJC Scopus subject areas

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

Cite this

Yasumura, Y., Kitani, N., & Uehara, K. (2007). Quick adaptation to changing concepts by sensitive detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4570 LNAI, pp. 855-864). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4570 LNAI).

Quick adaptation to changing concepts by sensitive detection. / Yasumura, Yoshiaki; Kitani, Naho; Uehara, Kuniaki.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4570 LNAI 2007. p. 855-864 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4570 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yasumura, Y, Kitani, N & Uehara, K 2007, Quick adaptation to changing concepts by sensitive detection. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 4570 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4570 LNAI, pp. 855-864, 20th International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems, lEA/AlE-2007, Kyoto, 07/6/26.
Yasumura Y, Kitani N, Uehara K. Quick adaptation to changing concepts by sensitive detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4570 LNAI. 2007. p. 855-864. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Yasumura, Yoshiaki ; Kitani, Naho ; Uehara, Kuniaki. / Quick adaptation to changing concepts by sensitive detection. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4570 LNAI 2007. pp. 855-864 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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