Adaptive grid-meshed-buffer clustering algorithm for outlier detection in evolving data stream
As the number of connected devices rises, real-time processing of data streams has garnered significant attention and interest within the scientific community. Clustering, known for its versatility in real-time data stream processing and independence from labeled instances, is a suitable method for...
Saved in:
Main Author: | Abdulateef, Alaa Fareed |
---|---|
Format: | Thesis |
Language: | eng eng eng |
Published: |
2023
|
Subjects: | |
Online Access: | https://etd.uum.edu.my/11343/1/permission%20to%20deposit-not%20allow-s902134_0001.pdf https://etd.uum.edu.my/11343/2/s902134_01.pdf https://etd.uum.edu.my/11343/3/s902134_02.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An adaptive density-based method for clustering evolving data streams /
by: Amini, Amineh
Published: (2014) -
An efficient clustering algorithm in the presence on outlier and doubtful data
by: Md. Jedi, Muhamad Alias
Published: (2015) -
Data Replication with 2D Mesh Protocol for Data Grid
by: Latip, Rohaya
Published: (2009) -
An online density-based clustering algorithm for data stream based on local optimal radius and cluster pruning
by: Islam, Md Kamrul
Published: (2019) -
Outlier detection in cylindrical data /
by: Nurul Hidayah Sadikon
Published: (2018)