Improving Data Quality for Educational Data Mining (EDM) for Indian Ed-Tech Start-Ups

IF 3 Q2 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Tamal Mukherjee
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引用次数: 0

Abstract

Educational Data Mining (EDM) is one of the most widely used data mining application areas. Improving the process of EDM is a challenge for Indian Ed Tech Start-ups. There exist a lot of efficient statistical algorithms for EDM. But for successful application of these high-tech statistical methods, the back-end data fetching process should be properly in place. That is only possible if the back-end data quality of all these EDM data are maintained and managed efficiently and proficiently. The technical implementation of this remains a huge challenge. In this particular paper, we aim at taking care of this issue by improving the back-end data management system quality which acts as the backbone of any EDM procedure.
为印度教育科技初创企业提高教育数据挖掘(EDM)的数据质量
教育数据挖掘(EDM)是数据挖掘应用最广泛的领域之一。改进EDM流程是印度教育科技初创企业面临的一个挑战。对于电火花加工,已有许多有效的统计算法。但是,为了成功地应用这些高科技统计方法,后端数据获取过程应该适当地到位。只有有效和熟练地维护和管理所有这些EDM数据的后端数据质量,才有可能实现这一点。技术上的实现仍然是一个巨大的挑战。在这篇特别的论文中,我们的目标是通过提高后台数据管理系统的质量来解决这个问题,后台数据管理系统是任何EDM过程的支柱。
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来源期刊
CiteScore
8.50
自引率
33.30%
发文量
40
期刊介绍: International Journal of Management Science and Engineering Management (IJMSEM) is a peer-reviewed quarterly journal that provides an international forum for researchers and practitioners of management science and engineering management. The journal focuses on identifying problems in the field, and using innovative management theories and new management methods to provide solutions. IJMSEM is committed to providing a platform for researchers and practitioners of management science and engineering management to share experiences and communicate ideas. Articles published in IJMSEM contain fresh information and approaches. They provide key information that will contribute to new scientific inquiries and improve competency, efficiency, and productivity in the field. IJMSEM focuses on the following: 1. identifying Management Science problems in engineering; 2. using management theory and methods to solve above problems innovatively and effectively; 3. developing new management theory and method to the newly emerged management issues in engineering; IJMSEM prefers papers with practical background, clear problem description, understandable physical and mathematical model, physical model with practical significance and theoretical framework, operable algorithm and successful practical applications. IJMSEM also takes into account management papers of original contributions in one or several aspects of these elements.
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