Performance Evaluation of Simple K -Mean and Parallel K -Mean Clustering Algorithms: Big Data Business Process Management Concept

Performance Evaluation of Simple K -Mean and Parallel K -Mean Clustering Algorithms: Big Data Business Process Management Concept

Data is the most valuable asset in any firm. As time passes, the data expands at a breakneck speed. A major research issue is the extraction of meaningful information from a complex and huge data source. Clustering is one of the data extraction methods. The basic K-Mean and Parallel K-Mean partition...

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Bibliographic Details
Main Authors: Ali, S. (Author), Elmannai, H. (Author), Hadjouni, M. (Author), Jameel, A. (Author), Khan, I. (Author), Serat, A.M (Author), Zada, I. (Author), Zeeshan, M. (Author)
Format: Article
Language:English
Published: Hindawi Limited 2022
Subjects:
Big data
Business Process
Data business
Data mining
Data-source
Extraction
Iterative methods
K-means
K-means clustering
K-means clustering algorithms
Parallel algorithms
Parallel clustering
Performances evaluation
Process management
Research issues
Simple++
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