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ISSN: 1546-9239 (Print)
ISSN: 1554-3641 (Online)
Research Article Open Access

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

Aanouar Riad Solh1 and Mourad El Belkacemi1
  • 1 Laboratoire Conception et Systèmes (Microélectronique et Informatique), Faculty of Sciences Rabat, University Mohammed V-Agdal, Rabat, Morocco

Abstract

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).

American Journal of Applied Sciences
Volume 13 No. 3, 2016, 299-306

DOI: https://doi.org/10.3844/ajassp.2016.299.306

Submitted On: 16 March 2015 Published On: 26 March 2016

How to Cite: Solh, A. R. & Belkacemi, M. E. (2016). Toward a Good Decision to Improve the Weight of Control of Expenditure for Local Communities. American Journal of Applied Sciences, 13(3), 299-306. https://doi.org/10.3844/ajassp.2016.299.306

Open AccessCopyright: © 2016 Aanouar Riad Solh and Mourad El Belkacemi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

  • Datamining
  • Unsupervised Classification
  • Supervised Classification
  • Decision Tree
  • Knowledge
  • Clustering Algorithms
  • Separation Distance
  • Categorical Data