| 决策树算法在未成年人犯罪成因中的应用研究 |
| |
| 引用本文： | 栾盛磊. 决策树算法在未成年人犯罪成因中的应用研究[J]. 山东行政学院学报, 2010, 0(4): 142-145. DOI: 10.3969/J.ISSN.1008-3154.2010.04.046 |
| |
| 作者姓名： | 栾盛磊 |
| |
| 作者单位： | 山东行政学院,山东,济南,250014 |
| |
| 摘 要： | 犯罪成因的分析在未成年人犯罪研究中起着重要的作用,而分类算法在分析犯罪成因上是卓有成效的。决策树算法是分类算法中一类重要的算法,其中以C4．5算法最为流行,但这种算法在时间复杂性和增量式学习方面还不是很理想,因此有必要对其进行改进。
|
| 关 键 词： | 未成年人犯罪 决策树 CA．5算法改进 |
On the Application of Decision Tree Algorithm in the Study of Juvenile Delinquency |
| |
| LUAN Sheng-lei. On the Application of Decision Tree Algorithm in the Study of Juvenile Delinquency[J]. Journal of Shandong Administrative College and Shandong Economic Management Personnel College, 2010, 0(4): 142-145. DOI: 10.3969/J.ISSN.1008-3154.2010.04.046 |
| |
| Authors: | LUAN Sheng-lei |
| |
| Affiliation: | LUAN Sheng - lei ( Shandong Administration Institute, Jinan 250014 ) |
| |
| Abstract: | Analysis of the causes of crime in Juvenile Delinquency Research plays an important role, and the classification algorithm in the analysis of the causes of crime is highly effective, decision tree classification algorithm is an important algorithm in a class of algorithms, of which the most popular CA. 5 algorithm However, the complexity of the algorithm in terms of time and incremental learning is not ideal, this article on the CA. 5 algorithm to improve the corresponding order to make it more adapted to a juvenile offender data analysis requirements. |
| |
| Keywords: | Juvenile Dehnquency Decision Tree Algorithm Improves C4.5 |
| 本文献已被 维普 万方数据 等数据库收录！ |
|
