• Karan Sukhja

Data Mining is a technology to explore data, analyse the data and finally discovering patterns from large data repository. Currently there is growing interest in data mining and educational systems leading to the development of educational data mining to monitor the progress of student’s academic performance. The knowledge is hidden among the educational data set and it is extractable through data mining techniques. This paper discusses the capabilities of data mining techniques in context of school education system to monitor the progression of academic performance of students for the purpose of making an effective decision by the academic planners. The entire process is composed of different phases that begin with the collection of the educational data from relevant sources. After data collection phase, pre-processing of dataset is done to prepare the data for execution and remove all anomalies. Further, the implementation of powerful association rule mining is done for analysing student’s result data in order to discover the association rules based on educational dataset. Finally the paper is concluded with the research outcomes for different cases of association rule sets viz. mining from multiple variables and mining from single variable.

Data Mining, Educational Data Mining, Knowledge Discovery in Database (KDD), Association Rule Set, Association Rule Mining

"Educational Data Mining: An Exploration of learners' Academics performance ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 4, page no.1340-1346, April - 2015, Available :http://www.jetir.org/papers/JETIR1504095.pdf

"Educational Data Mining: An Exploration of learners' Academics performance ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 4, page no. pp1340-1346, April - 2015, Available at : http://www.jetir.org/papers/JETIR1504095.pdf