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Towards the Overcome of Performance Pitfalls in Data Stream Mining Tools
Mapping Intimacies
◽
10.1109/ijcnn52387.2021.9533375
◽
2021
◽
Author(s):
Lucca Portes Cavalheiro
◽
Marco Antonio Alves Zanata
◽
Jean Paul Barddal
Keyword(s):
Data Stream
◽
Data Stream Mining
◽
Stream Mining
◽
Mining Tools
Download Full-text
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References
Measuring Different Tasks for Unstructured Data and High Speed Data in Data Stream Mining
International Journal of Computer Sciences and Engineering
◽
10.26438/ijcse/v7i5.582589
◽
2019
◽
Vol 7
(5)
◽
pp. 582-589
Author(s):
K. Rajasekhar
◽
P. Venkata Maheswara
Keyword(s):
Data Stream
◽
High Speed
◽
Unstructured Data
◽
Data Stream Mining
◽
Stream Mining
◽
High Speed Data
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An Ideology for the Prediction of Critical Haplotype Blocks of Variants in Genes (Cyp2c9 And Vkorc1) for Warfarin (Anticoagulant) Drug Dosage to Treat Heart Patients Efficiently by Using Ml (Machine Learning) and Data Stream Mining Techniques
Proceedings of the 2019 3rd International Conference on Advances in Image Processing
◽
10.1145/3373419.3373424
◽
2019
◽
Author(s):
Hina Saeeda
◽
Muhammad Adil Abid
Keyword(s):
Machine Learning
◽
Data Stream
◽
Drug Dosage
◽
Data Stream Mining
◽
Stream Mining
◽
Haplotype Blocks
◽
Heart Patients
◽
Anticoagulant Drug
Download Full-text
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
Improving Multiple Time Series Forecasting with Data Stream Mining Algorithms
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
◽
10.1109/smc42975.2020.9283059
◽
2020
◽
Author(s):
Marcos Alberto Mochinski
◽
Jean Paul Barddal
◽
Fabricio Enembreck
Keyword(s):
Time Series
◽
Data Stream
◽
Time Series Forecasting
◽
Data Stream Mining
◽
Multiple Time
◽
Multiple Time Series
◽
Stream Mining
◽
Mining Algorithms
Download Full-text
Ensemble based data stream mining with recalling and forgetting mechanisms
2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)
◽
10.1109/fskd.2014.6980873
◽
2014
◽
Cited By ~ 1
Author(s):
Yanhuang Jiang
◽
Qiangli Zhao
◽
Yutong Lu
Keyword(s):
Data Stream
◽
Data Stream Mining
◽
Stream Mining
Download Full-text
Adaptation in clustering algorithm by algorithm output granularity for mobile data stream mining
International Conference on Information Communication and Embedded Systems (ICICES2014)
◽
10.1109/icices.2014.7033790
◽
2014
◽
Author(s):
Rahul Wasule
◽
R. A. Fadnavis
Keyword(s):
Data Stream
◽
Clustering Algorithm
◽
Data Stream Mining
◽
Stream Mining
◽
Mobile Data
Download Full-text
Medical Data-Stream Mining in the Area of Electromagnetic Radiation and Low Temperature Influence on Biological Objects
2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP)
◽
10.1109/dsmp.2018.8478577
◽
2018
◽
Cited By ~ 1
Author(s):
Iryna Perova
◽
Olena Litovchenko
◽
Yevgeniy Bodvanskiy
◽
Yelizaveta Brazhnykova
◽
Igor Zavgorodnii
◽
...
Keyword(s):
Low Temperature
◽
Electromagnetic Radiation
◽
Data Stream
◽
Medical Data
◽
Data Stream Mining
◽
Temperature Influence
◽
Stream Mining
◽
Biological Objects
Download Full-text
Classifying Sonar Signals Using an Incremental Data Stream Mining Methodology with Conflict Analysis
Advances in Intelligent Systems and Computing - Advances in Signal Processing and Intelligent Recognition Systems
◽
10.1007/978-3-319-04960-1_15
◽
2014
◽
pp. 171-182
◽
Cited By ~ 1
Author(s):
Simon Fong
◽
Suash Deb
◽
Sabu Thampi
Keyword(s):
Data Stream
◽
Conflict Analysis
◽
Data Stream Mining
◽
Stream Mining
Download Full-text
Anomaly Detection in Business Process based on Data Stream Mining
Proceedings of the XIV Brazilian Symposium on Information Systems - SBSI'18
◽
10.1145/3229345.3229362
◽
2018
◽
Cited By ~ 1
Author(s):
Gabriel Marques Tavares
◽
Victor G. Turrisi da Costa
◽
Vinicius Eiji Martins
◽
Paolo Ceravolo
◽
Sylvio Barbon
Keyword(s):
Anomaly Detection
◽
Business Process
◽
Data Stream
◽
Data Stream Mining
◽
Stream Mining
Download Full-text
Situation-Aware Adaptive Visualization for Sensory Data Stream Mining
Knowledge Discovery from Sensor Data - Lecture Notes in Computer Science
◽
10.1007/978-3-642-12519-5_3
◽
2010
◽
pp. 43-58
◽
Cited By ~ 2
Author(s):
Pari Delir Haghighi
◽
Brett Gillick
◽
Shonali Krishnaswamy
◽
Mohamed Medhat Gaber
◽
Arkady Zaslavsky
Keyword(s):
Data Stream
◽
Data Stream Mining
◽
Stream Mining
◽
Sensory Data
◽
Adaptive Visualization
Download Full-text
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