Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSearch dblp for Publications
export results for "non-stationary data stream"
download as .bib file
@article{DBLP:journals/jbd/MahapatraC24,
author = {Suchismit Mahapatra and
Varun Chandola},
title = {Learning manifolds from non-stationary streams},
journal = {J. Big Data},
volume = {11},
number = {1},
pages = {42},
year = {2024}
}
@article{DBLP:journals/simpa/MigendaMS24,
author = {Nico Migenda and
Ralf M{\"{o}}ller and
Wolfram Schenck},
title = {{NGPCA:} Clustering of high-dimensional and non-stationary data streams},
journal = {Softw. Impacts},
volume = {20},
pages = {100635},
year = {2024}
}
@article{DBLP:journals/tjs/AngberaC24,
author = {Ature Angbera and
Huah Yong Chan},
title = {An adaptive XGBoost-based optimized sliding window for concept drift
handling in non-stationary spatiotemporal data streams classifications},
journal = {J. Supercomput.},
volume = {80},
number = {6},
pages = {7781--7811},
year = {2024}
}
@article{DBLP:journals/apin/WangLZCLZ23,
author = {Tianyu Wang and
Mian Li and
Ruixiang Zheng and
Changbing Cai and
Yangbing Lou and
Siqi Zhu},
title = {Towards continual knowledge transfer in modeling manufacturing processes
under non-stationary data streams},
journal = {Appl. Intell.},
volume = {53},
number = {23},
pages = {29393--29413},
year = {2023}
}
@article{DBLP:journals/csur/FahyYG23,
author = {Conor Fahy and
Shengxiang Yang and
Mario Gongora},
title = {Scarcity of Labels in Non-Stationary Data Streams: {A} Survey},
journal = {{ACM} Comput. Surv.},
volume = {55},
number = {2},
pages = {40:1--40:39},
year = {2023}
}
@article{DBLP:journals/dke/ZhangZL23,
author = {Kuangyan Zhang and
Tuyi Zhang and
Sanmin Liu},
title = {A novel ensemble framework driven by diversity and cooperativity for
non-stationary data stream classification},
journal = {Data Knowl. Eng.},
volume = {148},
pages = {102232},
year = {2023}
}
@article{DBLP:journals/corr/abs-2302-04141,
author = {Valerie Vaquet and
Fabian Hinder and
Johannes Brinkrolf and
Barbara Hammer},
title = {Combining self-labeling and demand based active learning for non-stationary
data streams},
journal = {CoRR},
volume = {abs/2302.04141},
year = {2023}
}
@inproceedings{DBLP:conf/icdm/CasadoP22,
author = {Ioar Casado and
Aritz P{\'{e}}rez},
title = {Dirichlet process mixture models for non-stationary data streams},
booktitle = {{ICDM}},
pages = {873--878},
publisher = {{IEEE}},
year = {2022}
}
@article{DBLP:journals/corr/abs-2210-06872,
author = {Ioar Casado and
Aritz P{\'{e}}rez},
title = {Dirichlet process mixture models for non-stationary data streams},
journal = {CoRR},
volume = {abs/2210.06872},
year = {2022}
}
@article{DBLP:journals/ijon/KhezriTAS21,
author = {Shirin Khezri and
Jafar Tanha and
Ali Ahmadi and
Arash Sharifi},
title = {A novel semi-supervised ensemble algorithm using a performance-based
selection metric to non-stationary data streams},
journal = {Neurocomputing},
volume = {442},
pages = {125--145},
year = {2021}
}
@article{DBLP:journals/jikm/NagendhiranK21,
author = {Nalini Nagendhiran and
Lakshmanan Kuppusamy},
title = {Adaptive Drift Detection Mechanism for Non-Stationary Data Stream},
journal = {J. Inf. Knowl. Manag.},
volume = {20},
number = {1},
pages = {2150008},
year = {2021}
}
@article{DBLP:journals/sensors/ParkK21,
author = {Namuk Park and
Songkuk Kim},
title = {FlexSketch: Estimation of Probability Density for Stationary and Non-Stationary
Data Streams},
journal = {Sensors},
volume = {21},
number = {4},
pages = {1080},
year = {2021}
}
@article{DBLP:journals/sncs/DongGYY21,
author = {Wenlu Dong and
Shang Gao and
Xibei Yang and
Hualong Yu},
title = {An Exploration of Online Missing Value Imputation in Non-stationary
Data Stream},
journal = {{SN} Comput. Sci.},
volume = {2},
number = {1},
pages = {57},
year = {2021}
}
@inproceedings{DBLP:conf/icbk/Zheng021,
author = {Xiulin Zheng and
Peipei Li},
title = {An Efficient Framework for Multi-Label Learning in Non-stationary
Data Stream},
booktitle = {{ICBK}},
pages = {149--156},
publisher = {{IEEE}},
year = {2021}
}
@inproceedings{DBLP:conf/iccv/LangeT21,
author = {Matthias De Lange and
Tinne Tuytelaars},
title = {Continual Prototype Evolution: Learning Online from Non-Stationary
Data Streams},
booktitle = {{ICCV}},
pages = {8230--8239},
publisher = {{IEEE}},
year = {2021}
}
@inproceedings{DBLP:conf/pkdd/IrurozkiPLS21,
author = {Ekhine Irurozki and
Aritz P{\'{e}}rez and
Jesus L. Lobo and
Javier Del Ser},
title = {Rank Aggregation for Non-stationary Data Streams},
booktitle = {{ECML/PKDD} {(3)}},
series = {Lecture Notes in Computer Science},
volume = {12977},
pages = {297--313},
publisher = {Springer},
year = {2021}
}
@inproceedings{DBLP:conf/ssci/VaquetHVBH21,
author = {Valerie Vaquet and
Fabian Hinder and
Jonas Vaquet and
Johannes Brinkrolf and
Barbara Hammer},
title = {Online Learning on Non-Stationary Data Streams for Image Recognition
using Deep Embeddings},
booktitle = {{SSCI}},
pages = {1--7},
publisher = {{IEEE}},
year = {2021}
}
@phdthesis{DBLP:phd/ethos/Almuammar20,
author = {Manal Almuammar},
title = {Developing learning methods for non-stationary and imbalanced data
streams},
school = {University of Essex, Colchester, {UK}},
year = {2020}
}
@phdthesis{DBLP:phd/ethos/Ghomeshi20,
author = {Hossein Ghomeshi},
title = {Hybrid metaheuristic methods for ensemble classification in non-stationary
data streams},
school = {Birmingham City University, {UK}},
year = {2020}
}
@article{DBLP:journals/air/HammamiMMS20,
author = {Zeineb Hammami and
Moamar {Sayed Mouchaweh} and
Wiem Mouelhi and
Lamjed Ben Said},
title = {Neural networks for online learning of non-stationary data streams:
a review and application for smart grids flexibility improvement},
journal = {Artif. Intell. Rev.},
volume = {53},
number = {8},
pages = {6111--6154},
year = {2020}
}
@article{DBLP:journals/apin/KhezriTAS20,
author = {Shirin Khezri and
Jafar Tanha and
Ali Ahmadi and
Arash Sharifi},
title = {{STDS:} self-training data streams for mining limited labeled data
in non-stationary environment},
journal = {Appl. Intell.},
volume = {50},
number = {5},
pages = {1448--1467},
year = {2020}
}
@article{DBLP:journals/rita/DiazBMB20,
author = {Agust{\'{\i}}n Alejandro Ortiz D{\'{\i}}az and
Isvani Inocencio Fr{\'{\i}}as Blanco and
Laura Maria Palomino Mari{\~{n}}o and
Fabiano Baldo},
title = {An Online Tree-Based Approach for Mining Non-Stationary High-Speed
Data Streams},
journal = {{RITA}},
volume = {27},
number = {1},
pages = {36--47},
year = {2020}
}
@inproceedings{DBLP:conf/icaisc/ZyblewskiKW20,
author = {Pawel Zyblewski and
Pawel Ksieniewicz and
Michal Wozniak},
title = {Combination of Active and Random Labeling Strategy in the Non-stationary
Data Stream Classification},
booktitle = {{ICAISC} {(1)}},
series = {Lecture Notes in Computer Science},
volume = {12415},
pages = {576--585},
publisher = {Springer},
year = {2020}
}
@inproceedings{DBLP:conf/iconip/WenZXF20,
author = {Yimin Wen and
Qi Zhou and
Yun Xue and
Chao Feng},
title = {Transfer Learning for Semi-supervised Classification of Non-stationary
Data Streams},
booktitle = {{ICONIP} {(5)}},
series = {Communications in Computer and Information Science},
volume = {1333},
pages = {468--477},
publisher = {Springer},
year = {2020}
}
@inproceedings{DBLP:conf/ictai/ZhangZZLCWRM20,
author = {Wenbin Zhang and
Mingli Zhang and
Ji Zhang and
Zhen Liu and
Zhiyuan Chen and
Jianwu Wang and
Edward Raff and
Enza Messina},
title = {Flexible and Adaptive Fairness-aware Learning in Non-stationary Data
Streams},
booktitle = {{ICTAI}},
pages = {399--406},
publisher = {{IEEE}},
year = {2020}
}
@inproceedings{DBLP:conf/ijcnn/GorgonioCVG20,
author = {Arthur Costa Gorg{\^{o}}nio and
Anne Mag{\'{a}}ly de Paula Canuto and
Karliane M. O. Vale and
Flavius L. Gorg{\^{o}}nio},
title = {A Semi-supervised Based Framework for Data Stream Classification in
Non-Stationary Environments},
booktitle = {{IJCNN}},
pages = {1--8},
publisher = {{IEEE}},
year = {2020}
}
@inproceedings{DBLP:conf/ijcnn/KoryckiK20,
author = {Lukasz Korycki and
Bartosz Krawczyk},
title = {Online Oversampling for Sparsely Labeled Imbalanced and Non-Stationary
Data Streams},
booktitle = {{IJCNN}},
pages = {1--8},
publisher = {{IEEE}},
year = {2020}
}
@article{DBLP:journals/corr/abs-2009-00919,
author = {Matthias De Lange and
Tinne Tuytelaars},
title = {Continual Prototype Evolution: Learning Online from Non-Stationary
Data Streams},
journal = {CoRR},
volume = {abs/2009.00919},
year = {2020}
}
@article{DBLP:journals/dke/MajdaraN19,
author = {Aref Majdara and
Saeid Nooshabadi},
title = {Online density estimation over high-dimensional stationary and non-stationary
data streams},
journal = {Data Knowl. Eng.},
volume = {123},
year = {2019}
}
@article{DBLP:journals/fgcs/UllahMHB19,
author = {Amin Ullah and
Khan Muhammad and
Ijaz Ul Haq and
Sung Wook Baik},
title = {Action recognition using optimized deep autoencoder and {CNN} for
surveillance data streams of non-stationary environments},
journal = {Future Gener. Comput. Syst.},
volume = {96},
pages = {386--397},
year = {2019}
}
@article{DBLP:journals/isci/PratamaW19,
author = {Mahardhika Pratama and
Dianhui Wang},
title = {Deep stacked stochastic configuration networks for lifelong learning
of non-stationary data streams},
journal = {Inf. Sci.},
volume = {495},
pages = {150--174},
year = {2019}
}
@article{DBLP:journals/kais/ZareMoodiSB19,
author = {Poorya ZareMoodi and
Sajjad Kamali Siahroudi and
Hamid Beigy},
title = {Concept-evolution detection in non-stationary data streams: a fuzzy
clustering approach},
journal = {Knowl. Inf. Syst.},
volume = {60},
number = {3},
pages = {1329--1352},
year = {2019}
}
@article{DBLP:journals/make/Arandjelovic19,
author = {Ognjen Arandjelovic},
title = {Targeted Adaptable Sample for Accurate and Efficient Quantile Estimation
in Non-Stationary Data Streams},
journal = {Mach. Learn. Knowl. Extr.},
volume = {1},
number = {3},
pages = {848--870},
year = {2019}
}
@inproceedings{DBLP:conf/dsc/MengWAWZL19,
author = {Qing Meng and
Yongheng Wang and
Jingbin An and
Zhongru Wang and
Baoxing Zhang and
Lijie Liu},
title = {Learning Non-Stationary Dynamic Bayesian Network Structure from Data
Stream},
booktitle = {{DSC}},
pages = {128--134},
publisher = {{IEEE}},
year = {2019}
}
@inproceedings{DBLP:conf/dsc/ZhangWSG19,
author = {Bencai Zhang and
Hua{-}Rui Wu and
Yange Sun and
Ronghua Gao},
title = {Semi-Random Forest Based on Representative Patterns for Noisy and
Non-Stationary Data Stream},
booktitle = {{DSC}},
pages = {228--234},
publisher = {{IEEE}},
year = {2019}
}
@inproceedings{DBLP:conf/numta/FolinoPP19,
author = {Gianluigi Folino and
Francesco Sergio Pisani and
Luigi Pontieri},
title = {A Cybersecurity Framework for Classifying Non Stationary Data Streams
Exploiting Genetic Programming and Ensemble Learning},
booktitle = {{NUMTA(1)}},
series = {Lecture Notes in Computer Science},
volume = {11973},
pages = {269--277},
publisher = {Springer},
year = {2019}
}
@inproceedings{DBLP:conf/ssdbm/TranFS19,
author = {Luan V. Tran and
Liyue Fan and
Cyrus Shahabi},
title = {Outlier Detection in Non-stationary Data Streams},
booktitle = {{SSDBM}},
pages = {25--36},
publisher = {{ACM}},
year = {2019}
}
@article{DBLP:journals/eswa/SiahroudiZB18,
author = {Sajjad Kamali Siahroudi and
Poorya ZareMoodi and
Hamid Beigy},
title = {Detection of evolving concepts in non-stationary data streams: {A}
multiple kernel learning approach},
journal = {Expert Syst. Appl.},
volume = {91},
pages = {187--197},
year = {2018}
}
@article{DBLP:journals/ida/Verdecia-Cabrera18,
author = {Alberto Verdecia{-}Cabrera and
Isvani Inocencio Fr{\'{\i}}as Blanco and
Andr{\'{e}} C. P. L. F. de Carvalho},
title = {An online adaptive classifier ensemble for mining non-stationary data
streams},
journal = {Intell. Data Anal.},
volume = {22},
number = {4},
pages = {787--806},
year = {2018}
}
@article{DBLP:journals/sigpro/AkintayoS18,
author = {Adedotun Akintayo and
Soumik Sarkar},
title = {Hierarchical symbolic dynamic filtering of streaming non-stationary
time series data},
journal = {Signal Process.},
volume = {151},
pages = {76--88},
year = {2018}
}
@inproceedings{DBLP:conf/icdm/KhavkinL18,
author = {Michael Khavkin and
Mark Last},
title = {Preserving Differential Privacy and Utility of Non-stationary Data
Streams},
booktitle = {{ICDM} Workshops},
pages = {29--34},
publisher = {{IEEE}},
year = {2018}
}
@inproceedings{DBLP:conf/idc/LoboSLBK18,
author = {Jesus L. Lobo and
Javier Del Ser and
Ibai La{\~{n}}a and
Miren Nekane Bilbao and
Nikola K. Kasabov},
title = {Drift Detection over Non-stationary Data Streams Using Evolving Spiking
Neural Networks},
booktitle = {{IDC}},
series = {Studies in Computational Intelligence},
volume = {798},
pages = {82--94},
publisher = {Springer},
year = {2018}
}
@inproceedings{DBLP:conf/ijcnn/Chamby-DiazMBG18,
author = {Jorge C. Chamby{-}Diaz and
Mariana Recamonde Mendoza and
Ana L. C. Bazzan and
Ricardo Grunitzki},
title = {Adaptive Incremental Gaussian Mixture Network for Non-Stationary Data
Stream Classification},
booktitle = {{IJCNN}},
pages = {1--8},
publisher = {{IEEE}},
year = {2018}
}
@inproceedings{DBLP:conf/nips/KnoblauchJD18,
author = {Jeremias Knoblauch and
Jack Jewson and
Theodoros Damoulas},
title = {Doubly Robust Bayesian Inference for Non-Stationary Streaming Data
with {\textbackslash}beta-Divergences},
booktitle = {NeurIPS},
pages = {64--75},
year = {2018}
}
@article{DBLP:journals/corr/abs-1804-08833,
author = {Suchismit Mahapatra and
Varun Chandola},
title = {Learning Manifolds from Non-stationary Streaming Data},
journal = {CoRR},
volume = {abs/1804.08833},
year = {2018}
}
@article{DBLP:journals/corr/abs-1806-02261,
author = {Jeremias Knoblauch and
Jack Jewson and
Theodoros Damoulas},
title = {Doubly Robust Bayesian Inference for Non-Stationary Streaming Data
with {\(\beta\)}-Divergences},
journal = {CoRR},
volume = {abs/1806.02261},
year = {2018}
}
@article{DBLP:journals/corr/abs-1808-02234,
author = {Mahardhika Pratama and
Dianhui Wang},
title = {Deep Stacked Stochastic Configuration Networks for Non-Stationary
Data Streams},
journal = {CoRR},
volume = {abs/1808.02234},
year = {2018}
}
@article{DBLP:journals/corr/abs-1808-08517,
author = {Mahardhika Pratama and
Witold Pedrycz and
Geoffrey I. Webb},
title = {An Incremental Construction of Deep Neuro Fuzzy System for Continual
Learning of Non-stationary Data Streams},
journal = {CoRR},
volume = {abs/1808.08517},
year = {2018}
}
@inproceedings{DBLP:conf/cec/FahyYG17,
author = {Conor Fahy and
Shengxiang Yang and
Mario Gongora},
title = {Finding Multi-Density Clusters in non-stationary data streams using
an Ant Colony with adaptive parameters},
booktitle = {{CEC}},
pages = {673--680},
publisher = {{IEEE}},
year = {2017}
}
@inproceedings{DBLP:conf/globecom/ChenaghlouMLS17,
author = {Milad Chenaghlou and
Masud Moshtaghi and
Christopher Leckie and
Mahsa Salehi},
title = {An Efficient Method for Anomaly Detection in Non-Stationary Data Streams},
booktitle = {{GLOBECOM}},
pages = {1--6},
publisher = {{IEEE}},
year = {2017}
}
@inproceedings{DBLP:conf/icassp/AbdiF17,
author = {Afshin Abdi and
Faramarz Fekri},
title = {Mixture source identification in non-stationary data streams with
applications in compression},
booktitle = {{ICASSP}},
pages = {2502--2506},
publisher = {{IEEE}},
year = {2017}
}
@phdthesis{DBLP:phd/hal/Allesiardo16,
author = {Robin Allesiardo},
title = {Bandits Manchots sur Flux de Donn{\'{e}}es Non Stationnaires.
(Multi-armed bandits for non-stationary data streams)},
school = {University of Paris-Saclay, France},
year = {2016}
}
@phdthesis{DBLP:phd/ndltd/Souza16a,
author = {Vin{\'{\i}}cius Mour{\~{a}}o Alves de Souza},
title = {Classification of non-stationary data stream with application in sensors
for insect identification},
school = {University of S{\~{a}}o Paulo, Brazil},
year = {2016}
}
@article{DBLP:journals/kais/HosseiniGB16,
author = {Mohammad Javad Hosseini and
Ameneh Gholipour and
Hamid Beigy},
title = {An ensemble of cluster-based classifiers for semi-supervised classification
of non-stationary data streams},
journal = {Knowl. Inf. Syst.},
volume = {46},
number = {3},
pages = {567--597},
year = {2016}
}
@inproceedings{DBLP:conf/wilf/AbdullatifMRC16,
author = {Amr Abdullatif and
Francesco Masulli and
Stefano Rovetta and
Alberto Cabri},
title = {Graded Possibilistic Clustering of Non-stationary Data Streams},
booktitle = {{WILF}},
series = {Lecture Notes in Computer Science},
volume = {10147},
pages = {139--150},
year = {2016}
}
@article{DBLP:journals/corr/SunZZZ16,
author = {Jianyong Sun and
Hu Zhang and
Aimin Zhou and
Qingfu Zhang},
title = {Learning from Non-Stationary Stream Data in Multiobjective Evolutionary
Algorithm},
journal = {CoRR},
volume = {abs/1606.05169},
year = {2016}
}
@article{DBLP:journals/ijon/ShakerH15,
author = {Ammar Shaker and
Eyke H{\"{u}}llermeier},
title = {Recovery analysis for adaptive learning from non-stationary data streams:
Experimental design and case study},
journal = {Neurocomputing},
volume = {150},
pages = {250--264},
year = {2015}
}
@article{DBLP:journals/jbd/SilvaM15,
author = {Bruno Silva and
Nuno Cavalheiro Marques},
title = {The ubiquitous self-organizing map for non-stationary data streams},
journal = {J. Big Data},
volume = {2},
pages = {27},
year = {2015}
}
@inproceedings{DBLP:conf/aaai/ParkerK15,
author = {Brandon Shane Parker and
Latifur Khan},
title = {Detecting and Tracking Concept Class Drift and Emergence in Non-Stationary
Fast Data Streams},
booktitle = {{AAAI}},
pages = {2908--2913},
publisher = {{AAAI} Press},
year = {2015}
}
@inproceedings{DBLP:conf/bigdataconf/KimMS15,
author = {Hyunjoo Kim and
Sriganesh Madhvanath and
Tong Sun},
title = {Hybrid active learning for non-stationary streaming data with asynchronous
labeling},
booktitle = {{IEEE} BigData},
pages = {287--292},
publisher = {{IEEE} Computer Society},
year = {2015}
}
@inproceedings{DBLP:conf/ijcnn/ArandjelovicPV15,
author = {Ognjen Arandjelovic and
Duc{-}Son Pham and
Svetha Venkatesh},
title = {The adaptable buffer algorithm for high quantile estimation in non-stationary
data streams},
booktitle = {{IJCNN}},
pages = {1--7},
publisher = {{IEEE}},
year = {2015}
}
@article{DBLP:journals/corr/ArandjelovicPV15b,
author = {Ognjen Arandjelovic and
Duc{-}Son Pham and
Svetha Venkatesh},
title = {The adaptable buffer algorithm for high quantile estimation in non-stationary
data streams},
journal = {CoRR},
volume = {abs/1504.05302},
year = {2015}
}
@article{DBLP:journals/mlc/GhazikhaniMY14,
author = {Adel Ghazikhani and
Reza Monsefi and
Hadi Sadoghi Yazdi},
title = {Online neural network model for non-stationary and imbalanced data
stream classification},
journal = {Int. J. Mach. Learn. Cybern.},
volume = {5},
number = {1},
pages = {51--62},
year = {2014}
}
@inproceedings{DBLP:conf/icdm/ParkerKB14,
author = {Brandon Parker and
Latifur Khan and
Albert Bifet},
title = {Incremental Ensemble Classifier Addressing Non-stationary Fast Data
Streams},
booktitle = {{ICDM} Workshops},
pages = {716--723},
publisher = {{IEEE} Computer Society},
year = {2014}
}
@inproceedings{DBLP:conf/ijcnn/SongY14,
author = {Ge Song and
Yunming Ye},
title = {A new ensemble method for multi-label data stream classification in
non-stationary environment},
booktitle = {{IJCNN}},
pages = {1776--1783},
publisher = {{IEEE}},
year = {2014}
}
@article{DBLP:journals/corr/ArandjelovicPV14a,
author = {Ognjen Arandjelovic and
Duc{-}Son Pham and
Svetha Venkatesh},
title = {Two maximum entropy based algorithms for running quantile estimation
in non-stationary data streams},
journal = {CoRR},
volume = {abs/1411.2250},
year = {2014}
}
@article{DBLP:journals/evs/GhazikhaniMY13,
author = {Adel Ghazikhani and
Reza Monsefi and
Hadi Sadoghi Yazdi},
title = {Recursive least square perceptron model for non-stationary and imbalanced
data stream classification},
journal = {Evol. Syst.},
volume = {4},
number = {2},
pages = {119--131},
year = {2013}
}
@article{DBLP:journals/ijon/GhazikhaniMY13,
author = {Adel Ghazikhani and
Reza Monsefi and
Hadi Sadoghi Yazdi},
title = {Ensemble of online neural networks for non-stationary and imbalanced
data streams},
journal = {Neurocomputing},
volume = {122},
pages = {535--544},
year = {2013}
}
@article{DBLP:journals/nca/GhazikhaniMY13,
author = {Adel Ghazikhani and
Reza Monsefi and
Hadi Sadoghi Yazdi},
title = {Online cost-sensitive neural network classifiers for non-stationary
and imbalanced data streams},
journal = {Neural Comput. Appl.},
volume = {23},
number = {5},
pages = {1283--1295},
year = {2013}
}
@inproceedings{DBLP:conf/cores/ShakerH13,
author = {Ammar Shaker and
Eyke H{\"{u}}llermeier},
title = {Recovery Analysis for Adaptive Learning from Non-stationary Data Streams},
booktitle = {{CORES}},
series = {Advances in Intelligent Systems and Computing},
volume = {226},
pages = {289--298},
publisher = {Springer},
year = {2013}
}
@inproceedings{DBLP:conf/sac/GholipourHB13,
author = {Ameneh Gholipour and
Mohammad Javad Hosseini and
Hamid Beigy},
title = {An adaptive regression tree for non-stationary data streams},
booktitle = {{SAC}},
pages = {815--817},
publisher = {{ACM}},
year = {2013}
}
@article{DBLP:journals/csda/Garcia-TrevinoB12,
author = {Edgar S. Garc{\'{\i}}a{-}Trevi{\~{n}}o and
Javier A. Barria},
title = {Online wavelet-based density estimation for non-stationary streaming
data},
journal = {Comput. Stat. Data Anal.},
volume = {56},
number = {2},
pages = {327--344},
year = {2012}
}
@inproceedings{DBLP:conf/adma/ZhangW10,
author = {Xiangliang Zhang and
Wei Wang},
title = {Self-adaptive Change Detection in Streaming Data with Non-stationary
Distribution},
booktitle = {{ADMA} {(1)}},
series = {Lecture Notes in Computer Science},
volume = {6440},
pages = {334--345},
publisher = {Springer},
year = {2010}
}
@article{DBLP:journals/inffus/CohenALKK08,
author = {Lior Cohen and
Gil Avrahami{-}Bakish and
Mark Last and
Abraham Kandel and
Oscar Kipersztok},
title = {Real-time data mining of non-stationary data streams from sensor networks},
journal = {Inf. Fusion},
volume = {9},
number = {3},
pages = {344--353},
year = {2008}
}
@inproceedings{DBLP:conf/lwa/KlanKPS08,
author = {Daniel Klan and
Marcel Karnstedt and
Christian P{\"{o}}litz and
Kai{-}Uwe Sattler},
title = {Towards Burst Detection for Non-Stationary Stream Data},
booktitle = {{LWA}},
series = {Technical Report},
volume = {448},
pages = {57--60},
publisher = {Department of Computer Science, University of W{\"{u}}rzburg,
Germany},
year = {2008}
}
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
retrieved on 2024-06-16 18:49 CEST from data curated by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
