Evolving large-scale data stream analytics based on scalable PANFIS

• Main Authors: Za'in, Choiru, Pratama, Mahardhika, Pardede, Eric
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Computer science and engineering; Large-scale Data Stream Analytics; Distributed Data Stream Mining
• Online Access: https://hdl.handle.net/10356/151672
• Institution: Nanyang Technological University

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...