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:
主要作者: | Abdulateef, Alaa Fareed |
---|---|
格式: | Thesis |
語言: | eng eng eng |
出版: |
2023
|
主題: | |
在線閱讀: | 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 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
An adaptive density-based method for clustering evolving data streams /
由: Amini, Amineh
出版: (2014) -
An efficient clustering algorithm in the presence on outlier and doubtful data
由: Md. Jedi, Muhamad Alias
出版: (2015) -
Data Replication with 2D Mesh Protocol for Data Grid
由: Latip, Rohaya
出版: (2009) -
An online density-based clustering algorithm for data stream based on local optimal radius and cluster pruning
由: Islam, Md Kamrul
出版: (2019) -
Outlier detection in cylindrical data /
由: Nurul Hidayah Sadikon
出版: (2018)