A Hybrid Support Vector Machine Algorithm for Big Data Heterogeneity Using Machine Learning

A Hybrid Support Vector Machine Algorithm for Big Data Heterogeneity Using Machine Learning

Big data technology has gained attention in all fields, particularly with regard to research and financial institutions. This technology has changed the world tremendously. Researchers and data scientists are currently working on its applicability in different domains such as health care, medicine,...

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Bibliographic Details
Main Authors: Shafqat Ul Ahsaan, Harleen Kaur, Ashish Kumar Mourya, Sameena Naaz
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Symmetry
Subjects:
big data
Euclidean distance
heterogeneity
heterogeneous Euclidean overlap metric (HEOM)
hybrid support vector machine (H-SVM)
k-nearest neighbor (kNN)
Online Access:https://www.mdpi.com/2073-8994/14/11/2344

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https://www.mdpi.com/2073-8994/14/11/2344

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