计算机工程 ›› 2012, Vol. 38 ›› Issue (11): 264-267.doi: 10.3969/j.issn.1000-3428.2012.11.080

• 开发研究与设计技术 • 上一篇    下一篇

基于J48决策树算法的水质评价方法

程克非1,程 蕾1,黄永东2   

  1. (1. 重庆邮电大学计算机学院,重庆 400045;2. 重庆市农业科学院农业质量标准与检测技术研究所,重庆 400045)
  • 收稿日期:2011-10-06 出版日期:2012-06-05 发布日期:2012-06-05
  • 作者简介:程克非(1974-),男,副教授、博士,主研方向:数据挖掘,嵌入式系统;程 蕾,硕士研究生;黄永东,农艺师
  • 基金项目:
    国家“十一五”水体污染控制与治理科技重大专项基金资助项目(2009ZX07425-003)

Water Quality Evaluation Method Based on J48 Decision Tree Algorithm

CHENG Ke-fei    1, CHENG Lei    1, HUANG Yong-dong    2   

  1. (1. College of Computer, Chongqing University of Posts and Telecommunications, Chongqing 400045, China; 2. Agricultural Quality Standards and Testing Technology Research Institute, Agricultural Academy of Chongqing, Chongqing 400045, China)
  • Received:2011-10-06 Online:2012-06-05 Published:2012-06-05

摘要: 提出一种以J48决策树算法为基础的水质评价方法。通过分析K最近邻法、贝叶斯分类法、向量空间模型法等常用的水质评价方法,针对某地区2008年的水质监测数据,采用J48决策树算法和单因子污染指数法对该地区水质进行计算,并对水质分类数据进行分类、属性清理和J48决策树参数的选择,以此建立模型。实验结果表明,该方法的交叉验证率约为95%,具有较好的分类评估效果。

关键词: 水质评价, 属性清理, 交叉验证, 单因子污染指数法, 决策树

Abstract: This paper proposes a water quality evaluation method based on J48 decision tree algorithm. By analyzing the common methods of water quality evaluation such as K nearest neighbor, Bayesian classification, vector space model, based on the water quality monitoring data of the region in 2008, it calculates the water quality of one region by using J48 decision tree algorithm and single-factor pollution index. A model is set up after classifying dates, cleaning up attributes and choosing parameters of J48 decision tree. Experimental result shows that the validation rate of J48 decision tree algorithm is about 95%. It shows that this method which this paper chooses has a good classifying assessment effect.

Key words: water quality evaluation, attribution cleaning, cross-validation, single factor pollution index method, decision tree

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