Knowledge Fusion by Harnessing Support Vector Machines for Collaborative Uncertain Data Classification in Multiagent Systems

Knowledge Fusion by Harnessing Support Vector Machines for Collaborative Uncertain Data Classification in Multiagent Systems

Distributed data mining (DDM) has emerged as a useful method for analyzing data that is spread across multiple sources. Nevertheless, DDM has other challenges that restrict its effectiveness, such as autonomy, privacy, efficiency, and implementation. DDM's rigidity and lack of adaptability may...

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Bibliographic Details
Main Author: Hussein, Ahmad MohdAziz (author)
Other Authors: Al-azzeh, Rashed M H (author), Mughaid, Ala (author), Abu Zitar, Raed (author), Migdady, Hazem (author), Abualigah, Laith (author)
Published: 2024
Subjects:
Distributed Data Mining
Multiagent Systems
MAS-DDM
Support Vector Machines
Uncertain Data
Knowledge Sharing
Online Access:https://depot.sorbonne.ae/handle/20.500.12458/1530
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https://depot.sorbonne.ae/handle/20.500.12458/1530

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