Frontiers of Supercomputing

Vol. 3, No. 1, Apr. 2020

High Performance Clustering to Improve Data Mining Techniques | Miscellaneous

a University of Baghdad, Baghdad, Iraq

Highlights and Novelties


1- An increasing amount of data is approaching into existence each day and power to process this data calls for cluster computers which are a set of a computer that operates together, only to be viewed as a single computer, to process and compute data.

2- People are pretty dependent on computers and their computational power more and more every day. As a consequence, those outcomes need to be accurate and be calculated fast.

3- Parallel computing is a more rapid way to process instructions by breaking the large task into smaller tasks using an organized effort to process data simultaneously.

4- Data clustering has been confirmed to be a favorable data mining technique. Recently, there have been various attempts for clustering data mining algorithms.


Manuscript Abstract
An increasing amount of data is approaching into existence each day and power to process this data calls for cluster computers which are a set of a computer that operates together, only to be viewed as a single computer, to process and compute data. People are pretty dependent on computers and their computational power more and more every day. As a consequence, those outcomes need to be accurate and be calculated fast. Parallel computing is a more rapid way to process instructions by breaking the large task into smaller tasks using an organized effort to process data simultaneously. Data clustering has been confirmed to be a favorable data mining technique. Recently, there have been various attempts for clustering data mining algorithms. For that reason, Cluster computing is used to create redundancy in a computer network to ensure that it will regularly be to be had and that it is going to not fail.

Keywords
 Data clustering   Data mining   Parallel programming   High performance 

Copyright
© Copyright was transferred to International Computer Science and Engineering Society (ICSES) by all the Authors.

Cite this manuscript as
Heba Fadhil, "High Performance Clustering to Improve Data Mining Techniques," Frontiers of Supercomputing (FoS), vol. 3, no. 1, pp. 1-2, Apr. 2020.

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