Evolving large-scale data stream analytics based on scalable PANFIS

Evolving large-scale data stream analytics based on scalable PANFIS

The main challenge in large-scale data stream analytics lies in the ability of machine learning to generate large-scale data knowledge in reasonable timeframe without suffering from a loss of accuracy. Many distributed machine learning frameworks have recently been built to speed up the large-scale...

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書目詳細資料
Main Authors:	Za'in, Choiru, Pratama, Mahardhika, Pardede, Eric
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2021
主題:	Engineering::Computer science and engineering Large-scale Data Stream Analytics Distributed Data Stream Mining
在線閱讀:	https://hdl.handle.net/10356/151672
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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