Studies on Identification and Classification of the Best Communities That Ensure the Mastery of Their Expenditure by Using the Threshold of Their Cluster | Chapter 8 | New Visions in Science and Technology Vol. 6

 In the framework of local community expenditure reduction, we devised a technique for segmenting local communities based on their revenue ratios by employing data mining algorithms and determining, first and foremost, their weight to limit expenditure in their cluster. The latter is distinguished by a threshold that is proportional to the number of its constituents. On a second level, we created a new categorization rearrangement in order to raise the weight and, as a result, ensure better control and management of local community spending. Government spending rationalisation will not be effective at the national level unless it is implemented at the regional level.

Author (S) Details

 

Anouar Riad Solh

Laboratoire Conception et Systèmes (Microélectronique et Informatique), Faculty of Sciences Rabat, University Mohammed V-Agdal, Rabat, Morocco.

Mourad El Belkacemi

Laboratoire Conception et Systèmes (Microélectronique et Informatique), Faculty of Sciences Rabat, University Mohammed V-Agdal, Rabat, Morocco.

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