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Ensemble fuzzy support vector machine classifier based on maximum spanning tree for big data analytics

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Title: Ensemble fuzzy support vector machine classifier based on maximum spanning tree for big data analytics

Authors: B. Rajendran, Saravanan Venkataraman

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2016

Volume: 11

Issue: 9

Language: English

Categories
Support Vector Machines (11) Ensemble Methods (11) Big Data Analytics (41) Machine Learning (3478) Fuzzy Logic (307)

Abstract

Today the buzz word in information technology is big data. Classification is one among the thrust research problem in such big data and its corresponding application scenarios. This research work makes use of an ensemble fuzzy support vector machine in order to perform the classification task. Maximum spanning tree is used for feature selection among the big data. KDD Cup 99 is multivariate dataset which consists of 40, 00,020 instances with 42 attributes chosen for evaluating the performance of the proposed work. Simulation results show the proposed ensemble classifier.

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