The prediction of online time series with concept drift based on dynamic intuitionistic fuzzy cognitive map (English)
- New search for: Zhang, Nannan
- New search for: Yao, Xixi
- New search for: Luo, Chao
- New search for: Zhang, Nannan
- New search for: Yao, Xixi
- New search for: Luo, Chao
In:
Intelligent Data Analysis
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25
, 4
;
949-972
;
2021
- Article (Journal) / Electronic Resource
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Title:The prediction of online time series with concept drift based on dynamic intuitionistic fuzzy cognitive map
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Additional title:The prediction of online time series with concept drift based on DIFCM
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Contributors:
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Published in:Intelligent Data Analysis ; 25, 4 ; 949-972
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Publisher:
- New search for: IOS Press
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Place of publication:Amsterdam, The Netherlands
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Publication date:2021-07-09
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Size:24 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 25, Issue 4
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 759
-
Editorial| 2021
- 763
-
Methods for detecting and correcting contextual data quality problemsNgueilbaye, Alladoumbaye / Wang, Hongzhi / Mahamat, Daouda Ahmat / Elgendy, Ibrahim A. / Junaidu, Sahalu B. et al. | 2021
- 789
-
Development of a data generator for multivariate numerical data with arbitrary correlations and distributionsVahldiek, Kai / Zhou, Libing / Zhu, Wenfeng / Klawonn, Frank et al. | 2021
- 809
-
Human interaction recognition method based on parallel multi-feature fusion networkYe, Qing / Zhong, Haoxin / Qu, Chang / Zhang, Yongmei et al. | 2021
- 825
-
Handling incomplete data classification using imputed feature selected bagging (IFBag) methodKhan, Ahmad Jaffar / Raza, Basit / Shahid, Ahmad Raza / Kumar, Yogan Jaya / Faheem, Muhammad / Alquhayz, Hani et al. | 2021
- 847
-
Manifold regularization ensemble clustering with many objectives using unsupervised extreme learning machinesHomayouni, Haleh / Mansoori, Eghbal G. et al. | 2021
- 863
-
A new semi-supervised algorithm combined with MCICA optimizing SVM for motion imagination EEG classificationTan, Xuemin / Guo, Chao / Jiang, Tao / Fu, Kechang / Zhou, Nan / Yuan, Jianying / Zhang, Guoliang et al. | 2021
- 879
-
A graphical approach for multiclass classification and for correcting the labeling errors in mislabeled training dataMerkurjev, Ekaterina et al. | 2021
- 907
-
Content-aware data distribution over cluster nodesKrechowicz, Adam et al. | 2021
- 929
-
C_CART: An instance confidence-based decision tree algorithm for classificationYu, Shuang / Li, Xiongfei / Wang, Hancheng / Zhang, Xiaoli / Chen, Shiping et al. | 2021
- 949
-
The prediction of online time series with concept drift based on dynamic intuitionistic fuzzy cognitive mapZhang, Nannan / Yao, Xixi / Luo, Chao et al. | 2021
- 973
-
Quantitative predicting propagation breadth and depth of microblog users’ forwarding behaviorWang, Yanben / Bai, Jurong et al. | 2021
- 993
-
TextureMask: A merged architecture for low-resolution instance segmentationDa, Ting / Yang, Liang et al. | 2021
- 1013
-
Feature-based multi-criteria recommendation system using a weighted approach with ranking correlationZeeshan, Zeeshan / ul Ain, Qurat / Bhatti, Uzair Aslam / Memon, Waqar Hussain / Ali, Sajid / Nawaz, Saqib Ali / Nizamani, Mir Muhammad / Mehmood, Anum / Bhatti, Mughair Aslam / Shoukat, Muhammad Usman et al. | 2021
- 1031
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Multimodal emotion recognition with hierarchical memory networksLai, Helang / Wu, Keke / Li, Lingli et al. | 2021