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.
Cite
CITATION STYLE
Mukherjee, T. (2022). Improving Data Quality for Educational Data Mining (EDM) for Indian Ed-Tech Start-Ups. International Journal of Science, Engineering and Management, 9(8), 32–33. https://doi.org/10.36647/ijsem/09.08.a005
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