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

Download Full-text

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

Download Full-text

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

Download Full-text

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

Download Full-text

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

Download Full-text

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

Download Full-text

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

Download Full-text

A Semi-supervised Ensemble Approach for Mining Data Streams

Journal of Computers ◽

10.4304/jcp.8.11.2873-2879 ◽

2013 ◽

Vol 8 (11) ◽

Author(s):

Jing Liu ◽

Guo-sheng Xu ◽

Da Xiao ◽

Li-ze Gu ◽

Xin-xin Niu

Keyword(s):

Data Streams ◽

Ensemble Approach ◽

Mining Data Streams

Download Full-text

Concept Summarization of Uncertain Categorical Data Streams Based on Cluster Ensemble Approach

Pervasive Computing and Social Networking - Lecture Notes in Networks and Systems ◽

10.1007/978-981-16-5640-8_31 ◽

2022 ◽

pp. 385-398

Author(s):

K. Parish Venkata Kumar ◽

N. Raghavendra Sai ◽

S. Sai Kumar ◽

V. V. N. V. Phani Kumar ◽

M. Jogendra Kumar

Keyword(s):

Data Streams ◽

Categorical Data ◽

Cluster Ensemble ◽

Ensemble Approach

Download Full-text

A New Selective Ensemble Approach for Data Streams Classification

Artificial Intelligence and Applications ◽

10.2316/p.2010.674-032 ◽

2010 ◽

Author(s):

V. Grossi ◽

F. Turini

Keyword(s):

Data Streams ◽

Ensemble Approach ◽

Selective Ensemble

Download Full-text

Online Feature Extraction Algorithms for Data Streams

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.132.6 ◽

2012 ◽

Vol 132 (1) ◽

pp. 6-13

Author(s):

Seiichi Ozawa

Keyword(s):

Feature Extraction ◽

Download Full-text