Random Partition Based Adaptive Distributed Kernelized SVM for Big Data

Random Partition Based Adaptive Distributed Kernelized SVM for Big Data

In this paper, we present a distributed classification technique for big data by efficiently using distributed storage architecture and data processing units of a cluster. While handling such large data, the existing approaches consider specific data partitioning techniques which demand complete dat...

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Bibliographic Details
Main Authors: Amrit Pal, Abishi Chowdhury, Satakshi, Husnu S. Narman, Arkabandhu Chowdhury, Manish Kumar
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Distributed learning
large datasets
SVM
classification
distributed processing
distributed storage
Online Access:https://ieeexplore.ieee.org/document/9875175/

Internet

https://ieeexplore.ieee.org/document/9875175/

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