Adaptive Genetic Algorithm Based Data Classification Rules Learning System

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 271-273)

Edited by:

Junqiao Xiong

Pages:

818-822

DOI:

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

Citation:

H. B. Shi and Y. Li, "Adaptive Genetic Algorithm Based Data Classification Rules Learning System", Advanced Materials Research, Vols. 271-273, pp. 818-822, 2011

Online since:

July 2011

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Price:

$35.00

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