STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Advances in Shell Programming

Predicting the Computer Access Needs of Employee Using Data Mining Algorithms

  1. Himanshi Mathur
  2. Mannu Devi
  3. Mahak Bansal
  4. Mohit Raj Purohit
  5. Barkha Narang

Abstract

Every business relies on data to better organize and access the information to improve their business operations and to identify opportunities for improvement. A better framework improves the ability to valuable products and better services to their customers. The wide swaths of data that every organization gathers requires a proper methodology to gain knowledge about the latest trends in the market. Data mining is the process that analyses the data collected by the insights and make decisions. There is a considerable amount of data regarding an employee's role within a company and other organizations. Organizations collect their employees' data to provide access according to their roles and responsibilities. In this study, we can see how data mining divides big data sets into small parts to understand patterns and relations between all datasets that can help solve computer access needs in an organization.

Keywords

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