TY - GEN
T1 - Quick adaptation to changing concepts by sensitive detection
AU - Yasumura, Yoshiaki
AU - Kitani, Naho
AU - Uehara, Kuniaki
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
KW - Classifier ensemble
KW - Concept change
KW - Data streams
UR - http://www.scopus.com/inward/record.url?scp=37249071290&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=37249071290&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-73325-6_85
DO - 10.1007/978-3-540-73325-6_85
M3 - Conference contribution
AN - SCOPUS:37249071290
SN - 9783540733225
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 855
EP - 864
BT - New Trends in Applied Artificial Intelligence - 20th International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems, lEA/AlE 2007, Proceedings
PB - Springer Verlag
T2 - 20th International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems, lEA/AlE-2007
Y2 - 26 June 2007 through 29 June 2007
ER -