JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2011, Vol. 41 ›› Issue (4): 73-78.

• Articles • Previous Articles     Next Articles

Ensemble learning of multi-classifier for early classification of time series

LI Xiao-bin1, LI Shi-yin2   

  1. 1. School of Computer Science and Technology, Xuzhou Normal University, Xuzhou 221116, China;
    2. School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China
  • Received:2011-02-20 Online:2011-08-16 Published:2011-02-20

PDF (PC)

2370

Abstract:

 To solve the early classification for time series in some time-sensitive application area, an ensemble learning method named sequential subspace stacked generation (SSSG) was introduced. This method split time series into several sequential subspaces with slider windows. Multi first-layer classifiers were used on these sequential subspaces and label probability for these subspaces was generated. Then these probability results were input for the second layer classifier. The time series’ label could be predicated by the two-layer classifier. Experiment results showed that this method could both do early classification for time series and achieve higher classification accuracy than only one classifier.

Key words: time series, ensemble learning, classification, sequential subspace, stacked generation

[1] SHEN Dongdong, ZHOU Fengyu, LI Mengyuan, WANG Shuqian, GUO Renhe. Indoor wireless positioning based on ensemble deep neural network [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(5): 95-102.
[2] ZHANG Pu, LIU Chang, WANG Yong. Suggestion sentence classification model based on feature fusion and ensemble learning [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(5): 47-54.
[3] SONG Shizhan, WANG Chuanyong, KANG Wenwen, ZHANG Jian, YAN Honghua, LI Peng. PV installed capacity planning for power distribution network based on time series production simulation [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(5): 131-136.
[4] CAO Ya, DENG Zhaohong, WANG Shitong. An radial basis function neural network model based on monotonic constraints [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(3): 127-133.
[5] XIE Zhifeng, WU Jiaping, MA Lizhuang. Chinese financial news classification method based on convolutional neural network [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(3): 34-39.
[6] WANG Tingting, ZHAI Junhai, ZHANG Mingyang, HAO Pu. K-NN algorithm for big data based on HBase and SimHash [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(3): 54-59.
[7] 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.
[8] HE Zhengyi, ZENG Xianhua, GUO Jiang. An ensemble method with convolutional neural network and deep belief network for gait recognition and simulation [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(3): 88-95.
[9] WANG Huan, ZHOU Zhongmei. An over sampling algorithm based on clustering [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(3): 134-139.
[10] YE Mingquan, GAO Lingyun, WAN Chunyuan. Gene expression data classification based on artificial bee colony and SVM [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(3): 10-16.
[11] LI Wei, WANG Zhechao, LI Shucai, DING Wantao, WANG Qi, ZONG Zhi, LIU Keqi. The mechanical properties of the silty clay and the advanced support method in Harbin Metro [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(2): 61-71.
[12] WANG Lei, DENG Xiaogang, CAO Yuping, TIAN Xuemin. Multiblock local Fisher discriminant analysis for chemical process fault classification [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(5): 179-186.
[13] LI Sushu, WANG Shitong, LI Tao. A feature selection method based on LS-SVM and fuzzy supplementary criterion [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(3): 34-42.
[14] HE Qijia, LIU Zhenbing, XU Tao, JIANG Shujie. MR image classification based on LBP and extreme learning machine [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(2): 86-93.
[15] GUO Chao, YANG Yan, JIANG Yongquan, SONG Yi. Condition recognition of high-speed train based on multi-view classification ensemble [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(1): 7-14.
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