Optimal Allocation of Higher Education Resources Based on Data Mining and Cloud Computing

Abstract

With the explosion of information and ever-increasing information resources, humanity has entered a brand-new cloud computing era. We are confronted with a brand-new problem: how to quickly and accurately extract the required information from vast information resources. It is even possible to argue that university educational administration is inextricably linked to university teaching accomplishments. The teaching data mining (DM) technology was created in order to extract the required information from vast information resources. People’s ability to find data using cloud computing technology (IT) has improved. This paper analyzes the division and optimal allocation of talent types in universities, in combination with the development strategy and HR characteristics of universities, and provides strategies for the rational allocation of talents in universities, as well as support for the information relationship of HR in universities, using DM technology research. The emergence of DM technology alleviates the problem of data accumulation-induced information explosion. In today’s universities, there are an increasing number of talents. In terms of talent allocation, the information-based talent allocation scheme offers new approaches to talent acquisition and university education development in the modern era.

Satisfaction prediction of online education in COVID-19 situation using data mining techniques: Bangladesh perspective

“…In this modern era technology e.g., internet of things (IoT) [18], data mining [19], [20], neural network [21] and machine learning [22]- [25] and so on plays a vital role where in our study we worked on data mining to predict our desire result to contribute the research area. In this part, we are analysis result data which check into cross-validation then convert to binary formation and the learning algorithms in terms of accuracy of evaluating the performance.…”

“…The year 2020 has been an unforgettable year in which coronavirus disease (COVID- 19), the pestiferous ailment of COVID-19, is discovered by the city of Wuhan in the province of Hubei, China, for the first time on November 17, 2019 [1]. This epidemic has damaged the world's healthcare system and has an impact on the livelihood of all people.…”

The Role of the Data Management Centre for Data Sustainability at Academic University for: Literature Review

“…Data-driven decision-making is an essential component of effective financial strategy in university enrollment. With the expansion of enrollment in colleges and universities, there has been a correspondingly explosive growth in financial data (Chu et al, 2022). As the enrollment scale of colleges and universities is expanding, the financial data of these institutions also experience significant growth.…”

“…The Chief Data Officer, as a senior managerial role, would ensure that the data management centre operates efficiently and effectively. They would be responsible for developing and implementing data management strategies, policies, and procedures that align with the goals and objectives of the university (Chu et al, 2022). Additionally, the Chief Data Officer would work closely with other senior leaders, such as the Chief Information Officer and the Chief Service Officer, to ensure that data is effectively utilised to support decision-making and enhance the overall efficiency and effectiveness of university operations.…”

Retracted: Optimal Allocation of Higher Education Resources Based on Data Mining and Cloud Computing

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”