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Survey on Swarm Search Feature Selection for Big Data Stream Mining
International Journal of Computer Applications
◽
10.5120/ijca2017912720
◽
2017
◽
Vol 158
(1)
◽
pp. 11-16
Author(s):
S. Meera
◽
B. Rosiline
Keyword(s):
Feature Selection
◽
Big Data
◽
Data Stream
◽
Data Stream Mining
◽
Stream Mining
◽
Search Feature
◽
Selection For
Download Full-text
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Cited By
References
ACCELERATED PSO SWARM SEARCH FEATURE SELECTION FOR DATA STREAM MINING BIG DATA USING GENETIC ALGORITHM
International Journal of Advance Engineering and Research Development
◽
10.21090/ijaerd.021159
◽
2015
◽
Vol 2
(11)
◽
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Keyword(s):
Genetic Algorithm
◽
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◽
Big Data
◽
Data Stream
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◽
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Accelerated PSO Swarm Search Feature Selection for Data Stream Mining Big Data
IEEE Transactions on Services Computing
◽
10.1109/tsc.2015.2439695
◽
2015
◽
pp. 1-1
◽
Cited By ~ 53
Author(s):
Simon Fong
◽
Raymond Wong
◽
Athanasios Vasilakos
Keyword(s):
Feature Selection
◽
Big Data
◽
Data Stream
◽
Data Stream Mining
◽
Stream Mining
◽
Search Feature
◽
Selection For
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Kennard-Stone Balance Algorithm for Time-series Big Data Stream Mining
2020 International Conference on Data Mining Workshops (ICDMW)
◽
10.1109/icdmw51313.2020.00122
◽
2020
◽
Author(s):
Tengyue Li
◽
Simon Fong
◽
Yaoyang Wu
◽
Antonio J. Tallon-Ballesteros
Keyword(s):
Time Series
◽
Big Data
◽
Data Stream
◽
Data Stream Mining
◽
Stream Mining
Download Full-text
Improvised methods for tackling big data stream mining challenges: case study of human activity recognition
The Journal of Supercomputing
◽
10.1007/s11227-016-1639-5
◽
2016
◽
Vol 72
(10)
◽
pp. 3927-3959
◽
Cited By ~ 6
Author(s):
Simon Fong
◽
Kexing Liu
◽
Kyungeun Cho
◽
Raymond Wong
◽
Sabah Mohammed
◽
...
Keyword(s):
Big Data
◽
Activity Recognition
◽
Human Activity
◽
Data Stream
◽
Human Activity Recognition
◽
Data Stream Mining
◽
Stream Mining
Download Full-text
Context-adaptive big data stream mining
2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton)
◽
10.1109/allerton.2014.7028494
◽
2014
◽
Cited By ~ 8
Author(s):
Cem Tekin
◽
Luca Canzian
◽
Mihaela van der Schaar
Keyword(s):
Big Data
◽
Data Stream
◽
Data Stream Mining
◽
Stream Mining
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Design and implementation of ACO feature selection algorithm for data stream mining
2016 International Conference on Automatic Control and Dynamic Optimization Techniques (ICACDOT)
◽
10.1109/icacdot.2016.7877746
◽
2016
◽
Cited By ~ 5
Author(s):
Shivani Harde
◽
Vaishali Sahare
Keyword(s):
Feature Selection
◽
Data Stream
◽
Data Stream Mining
◽
Selection Algorithm
◽
Feature Selection Algorithm
◽
Stream Mining
◽
Design And Implementation
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Big Data Stream Mining
Machine Learning for Data Streams
◽
10.7551/mitpress/10654.003.0006
◽
2018
◽
Keyword(s):
Big Data
◽
Data Stream
◽
Data Stream Mining
◽
Stream Mining
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Ensemble Framework for Big Data Stream Mining
2020 IEEE Conference on Computer Applications(ICCA)
◽
10.1109/icca49400.2020.9022820
◽
2020
◽
Author(s):
Phyo Thu Thu Khine
◽
Htwe Pa Pa Win
Keyword(s):
Big Data
◽
Data Stream
◽
Data Stream Mining
◽
Stream Mining
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IoT Big Data Stream Mining
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '16
◽
10.1145/2939672.2945385
◽
2016
◽
Cited By ~ 22
Author(s):
Gianmarco De Francisci Morales
◽
Albert Bifet
◽
Latifur Khan
◽
Joao Gama
◽
Wei Fan
Keyword(s):
Big Data
◽
Data Stream
◽
Data Stream Mining
◽
Stream Mining
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Real-time feature selection technique with concept drift detection using adaptive micro-clusters for data stream mining
Knowledge-Based Systems
◽
10.1016/j.knosys.2018.08.007
◽
2018
◽
Vol 161
◽
pp. 205-239
◽
Cited By ~ 2
Author(s):
Mahmood Shakir Hammoodi
◽
Frederic Stahl
◽
Atta Badii
Keyword(s):
Feature Selection
◽
Real Time
◽
Data Stream
◽
Concept Drift
◽
Data Stream Mining
◽
Stream Mining
◽
Feature Selection Technique
◽
Selection Technique
◽
Concept Drift Detection
Download Full-text
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