EDM: An analysis of learner’s academics performance based on Frequent Pattern Tree Algorithm

  Karan Sukhija

The education system performance of school education in India is a turning point in the academic lives of all learners. As this academic performance is influenced by many factors, it is essential to develop predictive data mining model for learners to determine factors that influence the learner’s performance. Educational data mining is used to analyze the data available in the educational field and elicit the hidden knowledge from it. In this study, a survey cum experimental methodology is implemented to generate a database and it was constructed from school education department. The raw data is pre-processed in terms of filling up missing values, transforming values in one form into another and relevant attribute/ variable selection. As a result, we had 10,000 student examination records, which is use in implementation stage. This paper implement the generalized sequential pattern mining algorithm for finding frequent patterns from learner’s database and frequent pattern tree algorithm to build the tree based on frequent patterns. This tree can be used for predicting the learner’s performance as pass or fail.

Keywords- Data Mining, Education Data Mining, Knowledge Discovery in Databases (KDD), Frequent Pattern Mining Algorithm, Decision Tree Classifier, C4.5 and C5.0 algorithm.

Unique Identification Number - IJEDR1504194
Page Number(s) - 1121-1125
Pubished in - Volume 3 | Issue 4 | Oct-Dec 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Karan Sukhija,   "EDM: An analysis of learner’s academics performance based on Frequent Pattern Tree Algorithm", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 4, pp.1121-1125, Oct-Dec 2015, Available at :http://www.ijedr.org/papers/IJEDR1504194.pdf