Paper Title:
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.

  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, 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
Authors
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Price
$32.00
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