A METHOD FOR INTERPRETING CONCEPT DRIFTS IN A STREAMING ENVIRONMENT

Mapping Intimacies ◽

10.17771/pucrio.acad.54157 ◽

2021 ◽

Author(s):

JOAO GUILHERME MATTOS DE O SANTOS

Keyword(s):

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Model-based optimization with concept drifts

Proceedings of the 2020 Genetic and Evolutionary Computation Conference ◽

10.1145/3377930.3390175 ◽

2020 ◽

Author(s):

Jakob Richter ◽

Junjie Shi ◽

Jian-Jia Chen ◽

Jörg Rahnenführer ◽

Michel Lang

Keyword(s):

Model Based ◽

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An effective just-in-time adaptive classifier for gradual concept drifts

The 2011 International Joint Conference on Neural Networks ◽

10.1109/ijcnn.2011.6033426 ◽

2011 ◽

Author(s):

Cesare Alippi ◽

Giacomo Boracchi ◽

Manuel Roveri

Keyword(s):

Just In Time ◽

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Exploiting fractal dimension and a distributed evolutionary approach to classify data streams with concept drifts

Applied Soft Computing ◽

10.1016/j.asoc.2018.11.009 ◽

2019 ◽

Vol 75 ◽

pp. 284-297 ◽

Author(s):

Gianluigi Folino ◽

Massimo Guarascio ◽

Giuseppe Papuzzo

Keyword(s):

Fractal Dimension ◽

Data Streams ◽

Evolutionary Approach ◽

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Handling Concept Drifts in Regression Problems – the Error Intersection Approach

WI2020 Zentrale Tracks ◽

10.30844/wi_2020_c1-baier ◽

2020 ◽

pp. 210-224

Author(s):

Lucas Baier ◽

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Niklas Kühl ◽

Gerhard Satzger ◽

Marcel Hofmann ◽

...

Keyword(s):

Regression Problems ◽

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Implementation of Credit Card Fraud Detection System with Concept Drifts Adaptation

Intelligent Computing and Information and Communication - Advances in Intelligent Systems and Computing ◽

10.1007/978-981-10-7245-1_46 ◽

2018 ◽

pp. 467-477 ◽

Author(s):

Anita Jog ◽

Anjali A. Chandavale

Keyword(s):

Credit Card ◽

Detection System ◽

Fraud Detection ◽

Credit Card Fraud ◽

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Statistical Tests to Identify Virtual Concept Drifts

10.1109/ijcnn52387.2021.9534387 ◽

2021 ◽

Author(s):

Paulo M. Goncalves ◽

Sylvain Chartier ◽

Roberto Souto Maior de Barros

Keyword(s):

Statistical Tests ◽

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Online Learning Model for Handling Different Concept Drifts Using Diverse Ensemble Classifiers on Evolving Data Streams

Cybernetics & Systems ◽

10.1080/01969722.2019.1645996 ◽

2019 ◽

Vol 50 (7) ◽

pp. 579-608

Author(s):

S. Ancy ◽

D. Paulraj

Keyword(s):

Online Learning ◽

Data Streams ◽

Learning Model ◽

Ensemble Classifiers ◽

Evolving Data ◽

Diverse Ensemble ◽

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Mining Concept Drifts from Data Streams Based on Multi-Classifiers

21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07) ◽

10.1109/ainaw.2007.250 ◽

2007 ◽

Author(s):

Yue Sun ◽

Guojun Mao ◽

Xu Liu ◽

Chunnian Liu

Keyword(s):

Data Streams ◽

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Hashing for Adaptive Real-Time Graph Stream Classification With Concept Drifts

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2017.2708979 ◽

2018 ◽

Vol 48 (5) ◽

pp. 1591-1604 ◽

Author(s):

Lianhua Chi ◽

Bin Li ◽

Xingquan Zhu ◽

Shirui Pan ◽

Ling Chen

Keyword(s):

Real Time ◽

Stream Classification ◽

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Classifying Data Streams with Skewed Class Distributions and Concept Drifts

IEEE Internet Computing ◽

10.1109/mic.2008.119 ◽

2008 ◽

Vol 12 (6) ◽

pp. 37-49 ◽

Author(s):

Jing Gao ◽

Bolin Ding ◽

Wei Fan ◽

Jiawei Han ◽

Philip S. Yu

Keyword(s):

Data Streams ◽

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