A novel online ensemble approach to handle concept drifting data streams: diversified dynamic weighted majority

International Journal of Machine Learning and Cybernetics ◽

10.1007/s13042-015-0333-x ◽

2015 ◽

Vol 9 (1) ◽

pp. 37-61 ◽

Author(s):

Parneeta Sidhu ◽

M. P. S. Bhatia

Keyword(s):

Data Streams ◽

Weighted Majority ◽

Ensemble Approach

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A new dynamic weighted majority control chart for data streams

Soft Computing ◽

10.1007/s00500-016-2351-3 ◽

2016 ◽

Vol 22 (2) ◽

pp. 511-522 ◽

Author(s):

Dhouha Mejri ◽

Mohamed Limam ◽

Claus Weihs

Keyword(s):

Control Chart ◽

Data Streams ◽

Weighted Majority ◽

Majority Control

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A Double-Ensemble Approach for Classifying Skewed Data Streams

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-642-30217-6_22 ◽

2012 ◽

pp. 254-265 ◽

Author(s):

Chongsheng Zhang ◽

Paolo Soda

Keyword(s):

Data Streams ◽

Skewed Data ◽

Ensemble Approach

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Double weighted methodology: A weighted ensemble approach to handle concept drift in data streams

2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS) ◽

10.1109/retis.2015.7232863 ◽

2015 ◽

Author(s):

Parneeta Sidhu ◽

M P S Bhatia ◽

Abhishek Ravi ◽

Kirti Jherwal

Keyword(s):

Data Streams ◽

Concept Drift ◽

Ensemble Approach

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A Micro-cluster Based Ensemble Approach for Classifying Distributed Data Streams

2011 IEEE 23rd International Conference on Tools with Artificial Intelligence ◽

10.1109/ictai.2011.118 ◽

2011 ◽

Author(s):

Guojun Mao ◽

Yi Yang

Keyword(s):

Data Streams ◽

Distributed Data ◽

Ensemble Approach ◽

Distributed Data Streams

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Adaptive Chunk-Based Dynamic Weighted Majority for Imbalanced Data Streams With Concept Drift

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2019.2951814 ◽

2020 ◽

Vol 31 (8) ◽

pp. 2764-2778 ◽

Author(s):

Yang Lu ◽

Yiu-Ming Cheung ◽

Yuan Yan Tang

Keyword(s):

Data Streams ◽

Concept Drift ◽

Imbalanced Data ◽

Weighted Majority

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A novel online ensemble approach for concept drift in data streams

2013 IEEE Second International Conference on Image Information Processing (ICIIP-2013) ◽

10.1109/iciip.2013.6707652 ◽

2013 ◽

Author(s):

Parneeta Sidhu ◽

Mps Bhatia ◽

Aditya Bindal

Keyword(s):

Data Streams ◽

Concept Drift ◽

Ensemble Approach

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An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams

19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007) ◽

10.1109/ictai.2007.51 ◽

2007 ◽

Author(s):

Gianluigi Folino ◽

Clara Pizzuti ◽

Giandomenico Spezzano

Keyword(s):

Data Streams ◽

Ensemble Approach

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A SVR-based ensemble approach for drifting data streams with recurring patterns

Applied Soft Computing ◽

10.1016/j.asoc.2016.06.030 ◽

2016 ◽

Vol 47 ◽

pp. 553-564 ◽

Author(s):

Jie Liu ◽

Enrico Zio

Keyword(s):

Data Streams ◽

Ensemble Approach

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A two ensemble system to handle concept drifting data streams: recurring dynamic weighted majority

International Journal of Machine Learning and Cybernetics ◽

10.1007/s13042-017-0738-9 ◽

2017 ◽

Vol 10 (3) ◽

pp. 563-578 ◽

Author(s):

Parneeta Sidhu ◽

M. P. S. Bhatia

Keyword(s):

Data Streams ◽

Weighted Majority

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Online GBDT with Chunk Dynamic Weighted Majority Learners for Noisy and Drifting Data Streams

Neural Processing Letters ◽

10.1007/s11063-021-10565-z ◽

2021 ◽

Author(s):

Senlin Luo ◽

Weixiao Zhao ◽

Limin Pan

Keyword(s):

Data Streams ◽

Weighted Majority

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