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IJSTR >> Volume 8 - Issue 11, November 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Time Complexity Of A Priori And Evolutionary Algorithm For Numerical Association Rule Mining Optimization

[Full Text]

 

AUTHOR(S)

Imam Tahyudin, haviluddin Haviluddin, Hidetaka Nanbo

 

KEYWORDS

time complexity, numerical association rule mining, a priori, evolutionary algorithm.

 

ABSTRACT

Some of the solutions for solving numerical Association rule mining problem are by discretization and optimization methods. The popular algorithms of optimization are A priori algorithms, Genetic algorithms (GA) and Particle swarm optimization (PSO). This research has aim to study time complexity of those optimization algorithms. The results show that the time complexity of evolutionary algorithms such as GA and PSO are faster than the time complexity of A priori algorithms.

 

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