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All Journal IJIIS: International Journal of Informatics and Information Systems Journal of Applied Data Sciences
Anas Yahya Bader Al Hadid
Amman Arab University, Jordan
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Data mining for Education Sector, a proposed concept Ammar Salamh Mujali Al-Rawahnaa; Anas Yahya Bader Al Hadid
Journal of Applied Data Sciences Vol 1, No 1: SEPTEMBER 2020
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v1i1.6

Abstract

Data mining is very much needed in various fields In accessing a large amount of data requires time and a high level of accuracy. In higher education the potential influence of data mining on the learning processes and outcomes of the students was realized. Especially in the field of education, knowing almost every educational institute, both public and private, has thousands of data from students with a variety of different programs and subjects. Understanding the benefits of data retrieval will facilitate the course of education itself. The use of Data mining in education will be useful in developing a student-focused strategy and in providing the correct tools that institutions would be able to use for quality improvement purposes. In this paper, we will find out the benefits of applying data mining in the education sector using classification, prediction, association and clustering methods.
A Propose Model Optimal Supply Chain Distribution Network for Farmer Industrial Ammar Salamh Mujali Al-Rawahna; Anas Yahya Bader Al Hadid
International Journal of Informatics and Information Systems Vol 3, No 2: September 2020
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v3i2.62

Abstract

A supply chain should be operated in the most efficient way in a highly competitive environment, with the goals of cost minimization, shipment delays, inventories and expenditures, and distribution maximization, gain, return on investment, level of customer support, and efficiency. The development of supply-chain distribution networks is therefore an extremely complex task, due to the large physical production and distribution network flows, the uncertainties associated with external interface customers and suppliers as well as the non-linear dynamics linked to internal information flows. This study aims to address a problem in domestic distribution in a supply chain system that includes manufacturers, distribution centers and consumer zones to determine the optimum configuration of the network. We propose a mixed integer linear programming model to solve the problem.
Co-Authors Ammar Salamh Mujali Al-Rawahna Ammar Salamh Mujali Al-Rawahnaa