JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2011, Vol. 41 ›› Issue (4): 44-48.

• Articles • Previous Articles     Next Articles

A method of fuzzy integral ensemble classifiers for handling concept-drifting data streams

JU Chun-hua1,2, CHEN Zhi-qi1*   

  1. 1. School of Computer Science ＆ Information Engineering;
    2.Center for Studies of Modern Business, Zhejiang Gongshang University, Hangzhou 310018, China
  • Received:2011-02-14 Online:2011-08-16 Published:2011-02-14

PDF (PC)

1359

Abstract:

A new classification algorithm FI-MDS based on fuzzy integral fusion was proposed, which aimed at mining data steams with concept drifts and noise and  combined fuzzy integral fusion and ensemble multi-classifiers technology. First, the decision-making profile could  be obtained by training samples through base classifiers, and then  the final classification result could be obtained via fuzzy integral fusion. Meanwhile, a dynamic weight update was  also introduced to improve the adaptability of this algorithm. The experiment results indicated that this method could  enhance the detection accuracy of the concept drifts. Complex classification problems in data streams could  be solved and the algorithm has higher classification performance, effectiveness and robustness.

Key words: data mining, data streams, concept drift, fuzzy integral

[1] CHEN Jiajie, WANG Jinfeng. Method for solving Choquet integral model based on ant colony algorithm [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(3): 81-87.
[2] PANG Renming, WANG Bo, YE Hao, ZHANG Haifeng, LI Mingliang. Clustering of blast furnace historical data based on PCA similarity factor and spectral clustering [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(5): 143-149.
[3] ZHOU Zhe, SHANG Lin. A sentiment analysis method based on dynamic lexicon and three-way decision [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2015, 45(1): 19-23.
[4] ZHU Quan-yin1, YAN Yun-yang1, ZHOU Pei1, GU Tian-feng2. Price forecasting model based on linear backfilling and adaptive sliding windows [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2012, 42(5): 53-58.
[5] GUO Gong-de1,2, LI Nan1,2, CHEN Li-fei1,2. A self-adaptive classification method for conceptdrifting data streams [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2012, 42(4): 1-7.
[6] SONG Wei, LIU Wen-bo, LI Jin-hong. Concurrent frequent itemsets mining algorithm based on dynamic prune of FP-tree [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2011, 41(4): 49-55.
[7] WANG Ai-guo, LI Lian*, YANG Jing, CHEN Gui-lin. An algorithm based on Bayesian network for web page recommendation [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2011, 41(4): 137-142.
[8] ZHANG Xinmeng, JIANG Shengyi. An algorithm for clustering uncertain categorical data
based on similarity probability [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2011, 41(3): 12-16.
[9] SUN Jing-yu, YU Xue-li, CHEN Jun-jie, LI Xian-hua. Sampled peculiarity factor and its application in anomaly detection [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2010, 40(5): 56-59.
[10] DONG Ai-Feng, DIAO Ge-Ji, SCHOMMER Christoph. A fingerprint engine for author profiling [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2009, 39(5): 27-31.
[11] SUN Yuqing,ZHAO Rui,YAO Qing,SHI Bin,LIU Jia . A meshbased clustering algorithm in the presence of obstacles [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2006, 36(3): 86-90 .
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright 2018 © Editorial office of Journal of Shandong University (Engineering Science)
Supported by Beijing Magtech Co.Ltd