{"title":"Improving Data Quality for Educational Data Mining (EDM) for Indian Ed-Tech Start-Ups","authors":"Tamal Mukherjee","doi":"10.36647/ijsem/09.08.a005","DOIUrl":null,"url":null,"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.","PeriodicalId":46578,"journal":{"name":"International Journal of Management Science and Engineering Management","volume":"5 1","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Management Science and Engineering Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36647/ijsem/09.08.a005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
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.
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.