A Novel Classification of Uncertain Stream Data using Ant Colony Optimization Based on Radial Basis Function

A Novel Classification of Uncertain Stream Data using Ant Colony Optimization Based on Radial Basis Function

There are many potential sources of data uncertainty, such as imperfect measurement or sampling, intrusive environmental monitoring, unreliable sensor networks, and inaccurate medical diagnoses. To avoid unintended results, data mining from new applications like sensors and location-based services n...

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Bibliographic Details
Main Authors: Tahsin Ali Mohammed Amin, Sabah Robitan Mahmood, Rebar Dara Mohammed, Pshtiwan Jabar Karim
Format: Article
Language:English
Published: Sulaimani Polytechnic University 2022-11-01
Series:Kurdistan Journal of Applied Research
Subjects:
Uncertainty data
Machine Learning
Radial Basis Function
Ant Colony Optimization (ACO)
IoT Applications
Online Access:https://www.kjar.spu.edu.iq/index.php/kjar/article/view/787

Internet

https://www.kjar.spu.edu.iq/index.php/kjar/article/view/787

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