Building a Classification Model for Enrollment In Higher Educational
  Courses using Data Mining Techniques
  Data Mining is the process of extracting useful patterns from the huge amount
of database and many data mining techniques are used for mining these patterns.
Recently, one of the remarkable facts in higher educational institute is the
rapid growth data and this educational data is expanding quickly without any
advantage to the educational management. The main aim of the management is to
refine the education standard; therefore by applying the various data mining
techniques on this data one can get valuable information. This research study
proposed the "classification model for the student's enrollment process in
higher educational courses using data mining techniques". Additionally, this
study contributes to finding some patterns that are meaningful to management.
