Data Mining Using Cat Swarm Optimization CSO Algorithm

Abstract

With the dynamic structures of databases from side and the continuous changes in the stored data in another side it has become necessary using tools and algorithms of data mining. In this paper, the Cat Swarm Optimization CSO algorithm has been used for its effective search and extraction of optimal data. CSO has two modes : tracing mode and seeking mode. This paper has five test reference functions that were used out of twelve. To evaluate the algorithm and determine its relevance to the research, the test results will show that this method has many advantages in prediction, data processing speed, durability, range, and data quality. This paper emphasis that CSO is very effective in the process of data mining.