Application of Data Mining Techniques in Education: A Review
Abstract: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.