Toward a Good Decision to Improve the Weight of Control of Expenditure for Local Communities | Science Publications

American Journal of Applied Sciences

Aanouar Riad Solh¹  Mourad El Belkacemi¹ 

关键词: Datamining;    Unsupervised Classification;    Supervised Classification;    Decision Tree;    Knowledge;    Clustering Algorithms;    Separation Distance;    Categorical Data;   

DOI  :  10.3844/ajassp.2016.299.306

学科分类：自然科学（综合）

来源: Science Publications

【 摘 要 】

In order to improve the weight control of local government spending, we have developed a technique to supervise the classification of local authorities according to their expense ratios. This aims to develop the repository of rules and decision-making skills of business leaders of local communities and enabling to detect frauds in expenditure ratios that cause weakness of the Current Flow margin (CCF).

【 授权许可】

Unknown