An evolving connectionist system for data stream fuzzy clustering and its online learning

Neurocomputing ◽

10.1016/j.neucom.2017.03.081 ◽

2017 ◽

Vol 262 ◽

pp. 41-56 ◽

Cited By ~ 15

Author(s):

Yevgeniy V. Bodyanskiy ◽

Oleksii K. Tyshchenko ◽

Daria S. Kopaliani

Keyword(s):

Online Learning ◽

Fuzzy Clustering ◽

Data Stream ◽

Connectionist System

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An Ensemble of Adaptive Neuro-Fuzzy Kohonen Networks for Online Data Stream Fuzzy Clustering

International Journal of Modern Education and Computer Science ◽

10.5815/ijmecs.2016.05.02 ◽

2016 ◽

Vol 8 (5) ◽

pp. 12-18 ◽

Cited By ~ 6

Author(s):

Zhengbing Hu ◽

◽

Yevgeniy V. Bodyanskiy ◽

Oleksii K. Tyshchenko ◽

Olena O. Boiko

Keyword(s):

Fuzzy Clustering ◽

Data Stream ◽

Online Data ◽

Neuro Fuzzy ◽

Kohonen Networks

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Fuzzy clustering algorithm modelling of data stream mining based on particle swarm optimization and GA

2021 6th International Conference on Communication and Electronics Systems (ICCES) ◽

10.1109/icces51350.2021.9489240 ◽

2021 ◽

Author(s):

Yanfei Zou

Keyword(s):

Particle Swarm Optimization ◽

Fuzzy Clustering ◽

Data Stream ◽

Clustering Algorithm ◽

Particle Swarm ◽

Data Stream Mining ◽

Stream Mining ◽

Swarm Optimization ◽

Fuzzy Clustering Algorithm

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The Fast Image Recognition System Based on Neuro-Fuzzy Units and its Online Learning for Data Stream Mining Tasks

2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP) ◽

10.1109/dsmp47368.2020.9204320 ◽

2020 ◽

Author(s):

Nonna Kulishova ◽

Yevgeniy Bodyanskiy ◽

Volodymyr Timofeyev

Keyword(s):

Online Learning ◽

Image Recognition ◽

Data Stream ◽

Recognition System ◽

Data Stream Mining ◽

Stream Mining ◽

Neuro Fuzzy

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Cooperating Edge Cloud-Based Hybrid Online Learning for Accelerated Energy Data Stream Processing in Load Forecasting

IEEE Access ◽

10.1109/access.2020.3035421 ◽

2020 ◽

Vol 8 ◽

pp. 199120-199132

Author(s):

Changha Lee ◽

Seong-Hwan Kim ◽

Chan-Hyun Youn

Keyword(s):

Online Learning ◽

Data Stream ◽

Load Forecasting ◽

Stream Processing ◽

Data Stream Processing ◽

Energy Data

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Gaussian Process Online Learning With a Sparse Data Stream

IEEE Robotics and Automation Letters ◽

10.1109/lra.2020.3010752 ◽

2020 ◽

Vol 5 (4) ◽

pp. 5977-5984 ◽

Cited By ~ 1

Author(s):

Jehyun Park ◽

Jongeun Choi

Keyword(s):

Online Learning ◽

Gaussian Process ◽

Data Stream ◽

Sparse Data

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Knowledge Distillation based Online Learning Methodology using Unlabeled Data Stream

Proceedings of the 2018 International Conference on Machine Learning and Machine Intelligence - MLMI2018 ◽

10.1145/3278312.3278319 ◽

2018 ◽

Author(s):

Sanghyun Seo ◽

Seongchul Park ◽

Changhoon Jeong ◽

Juntae Kim

Keyword(s):

Online Learning ◽

Data Stream ◽

Unlabeled Data ◽

Knowledge Distillation

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Data stream mining for wireless sensor networks environment: energy efficient fuzzy clustering algorithm

International Journal of Autonomous and Adaptive Communications Systems ◽

10.1504/ijaacs.2011.043478 ◽

2011 ◽

Vol 4 (4) ◽

pp. 383 ◽

Cited By ~ 1

Author(s):

Hakilo Sabit ◽

Adnan Al Anbuky ◽

Hamid Gholamhosseini

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Fuzzy Clustering ◽

Energy Efficient ◽

Data Stream ◽

Clustering Algorithm ◽

Wireless Sensor ◽

Data Stream Mining ◽

Stream Mining ◽

Fuzzy Clustering Algorithm

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Towards Building a Flexible Online Learning Model for Data Stream Classification

10.1145/3493700.3493761 ◽

2022 ◽

Author(s):

Deeksha Aggarwal ◽

Uttam Kumar ◽

J. Senthilnath

Keyword(s):

Online Learning ◽

Data Stream ◽

Learning Model ◽

Stream Classification ◽

Data Stream Classification

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Incremental adaptive semi-supervised fuzzy clustering for data stream classification

2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) ◽

10.1109/eais.2018.8397172 ◽

2018 ◽

Cited By ~ 6

Author(s):

Gabriella Casalino ◽

Giovanna Castellano ◽

Corrado Mencar

Keyword(s):

Fuzzy Clustering ◽

Data Stream ◽

Stream Classification ◽

Data Stream Classification

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Clustering right-skewed data stream via Birnbaum–Saunders mixture models: A flexible approach based on fuzzy clustering algorithm

Applied Soft Computing ◽

10.1016/j.asoc.2019.105539 ◽

2019 ◽

Vol 82 ◽

pp. 105539 ◽

Cited By ~ 6

Author(s):

Farzane Hashemi ◽

Mehrdad Naderi ◽

Mashallah Mashinchi

Keyword(s):

Mixture Models ◽

Fuzzy Clustering ◽

Data Stream ◽

Clustering Algorithm ◽

Skewed Data ◽

Flexible Approach ◽

Fuzzy Clustering Algorithm

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