Adaptive Genetic Algorithm Based Data Classification Rules Learning System

Hai Bin Shi; Yi Li

doi:10.4028/www.scientific.net/AMR.271-273.818

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 271-273Adaptive Genetic Algorithm Based Data...

Adaptive Genetic Algorithm Based Data Classification Rules Learning System

Abstract:

It’s a worthy research topic to use genetic algorithm for classification rules in data mining. In this paper, it was studied and researched in-depth. Firstly, we combined genetic algorithm and machine learning together, and then analyzed architecture of the genetic algorithm-based classification system, and also its development concrete structure was given. Secondly, we proposed a data classification rules learning system based on adaptive genetic algorithm, which can learn the classification rules accurately from the dataset. Finally the standard Play Tennis dataset was used for a closed test and after learning the system got three classification rules all with 100% accuracy rate, which fully demonstrated the feasibility of this algorithm.

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Periodical:

Advanced Materials Research (Volumes 271-273)

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818-822

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.271-273.818

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Online since:

July 2011

Authors:

Hai Bin Shi, Yi Li

Keywords:

Adaptive Genetic Algorithm (AGA), Classification Rule, Classification System, Data Classification, Genetic Algorithm (GA)

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