An Analysis Of Computational Learning Models For Quit Rent Revenue Estimation

• المؤلف الرئيسي: Hamdan, Muhamad Hamiza
• التنسيق: أطروحة
• اللغة: English; English
• منشور في: 2017
• الموضوعات: Q Science (General); QA76 Computer software
• الوصول للمادة أونلاين: http://eprints.utem.edu.my/id/eprint/20747/1/An%20Analysis%20Of%20Computational%20Learning%20Models%20For%20Quit%20Rent%20Revenue%20Estimation%20-%20Muhamad%20Hamiza%20Hamdan%20-%2024%20Pages.pdf; http://eprints.utem.edu.my/id/eprint/20747/2/An%20Effect%20Of%20Surface%20Roughness%20To%20Colour%20Sensor%20Detection%20Range%20In%20Ambient%20Temperature.pdf; http://eprints.utem.edu.my/id/eprint/20747/; http://libraryopac.utem.edu.my/webopac20/Record/0000106632

Quit rent is a major income for states in Malaysia. Hence, quit rent revenue projection is a crucial component for yearly state budget presentation to ensure the sustainable physical and development in the particular state, as well as throughout the whole country. Identifying predictors is essential...