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The various data mining techniques like prediction, clustering and relationship mining can be applied on educational data to study the behavior and performance of the students. This study will enable the learner and learning community to grow. These techniques can also be combined with specific discovery models and distillation of data for human judgment to enhance the learning community. This paper explores the various approaches and techniques of data mining which can be applied on Educational data to build up a new environment and also gives the new predictions on the data.
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