Application of Data Mining Techniques in Education: A Review

Data mining is the process that analyzes large data to find fresh and unknown information that increases industry productivity. In the field of trying, to discover novel and potentially suitable data, DM also be called KDD (Knowledge Discovery in Databases). Currently, DM has been introduced with educational settings, which is called EDM, it is an area of systematic analysis focused on the improvement of discovery approaches in the exclusive types of facts from academic situations and using this approach to effectively understood learners and the settings wherein they learn. EDM is emerging that focuses on analyzing educational data to develop models for improving experiences and efficiency in teaching and learning. Growing popularity in DM and the system of education is transforming educational data mining into a modern, rising research culture. Educational data mining involves removing hidden knowledge from vast educational datasets utilizing techniques and resources such as sorting, decision tree, clustering algorithms, etc. to create novel methods of knowledge exploration from educational databases, which is used for educational assessment which decision-making.