Imperial Journal of Interdisciplinary Research (IJIR) Vol-2, Issue-12, 2016 ISSN: 2454-1362, http://www.onlinejournal.in Imperial Journal of Interdisciplinary Research (IJIR) Page 741 Recognition of Slow Learners Using Classification Data Mining Techniques Mukesh Kumar 1 , Shankar Shambhu 2 & Punam Aggarwal 3 1,2 Chitkara University, HP (INDIA) 3 Smt. Aruna Asaf Ali Govt. P. G. College, Kalka (INDIA) Abstract: Educational Data Mining is used to predict the future learning behavior of the student. It is still a research topic for the researcher who wants do better result from the prediction of the student. The results of all these techniques help the teachers, management, and administrator to draft new rules and policy for the improvement of the educational standards and hence overall results and student retention. Taking this point in mind work has been done to find the slow learner in a High School class and then provide timely help to them for improving their overall result. There are lots of techniques of data mining are available for use but we are selecting only those techniques which are mostly used by different research for their result prediction like J48, REPTree, Naive Bayes, SMO, Multilayer Perceptron. On the collected dataset Multilayer Perception classification algorithm gives 87.43% accuracy when using whole dataset as training dataset and SMO and J48 gives 69.00% accuracy when using 10-fold cross validation algorithm. Keywords: Data Mining, Educational DM, Prediction, Classification, Clustering. 1. Introduction Educational data mining is one of the applications of data mining. Data mining is used to find the hidden pattern from a huge dataset and then apply that hidden patterns for the decision making in future. Its application is not limited to education but also covers fields like sales, retail, transportation, sports, marketing etc. In education, these data mining techniques are used to predict slow learners, dropout, under-performer etc and hence provide timely help to those students who are the problem in education. EDM is also broadly applied to E-learning system, classroom teaching, MOOC Course learning, curriculum redesign analysis, distance education etc. It is a process to find some knowledge of the database and then apply that knowledge for future improvement. It is also known as KDD (Knowledge discovery in a database). There is so many tools are available in the commercial market for the mining purpose like RapidMiner, WEKA, DBMiner, Clementine, Intelligent Miner etc with the proper interface for all techniques of mining. Different research gives their own definition of education, but the overall result of each research is same i.e. How to improve the overall education system? There are lots of factors which affect the education system like the student, management, administrators, infrastructures, teachers, teaching methodology, basis facilities for boys and girls (like separate toilets for M/F), transportation facilities etc. So with the help of educational data mining techniques, detailed analyses are performed on these factors and find out those factors which affect the education of the student and hence students underperformed. 2. Liability of data mining in academics setting: As already written EDM play a significant role for the overall development of the education? With the help of this following question can be answered which are enlisted below: I. Who is the weak student in a particular class? II. Who is likely being the dropout in the education? III. Which subject students like most in their overall course? IV. Which courses most attract the student in education? V. Find out the possible attribute which effect the student education and hence performance? VI. How we can help those student who are slow learner, under-performer and problem of education dropout. VII. Most importantly predicting result of the student in final examination. 3. Proposed work for this research Education plays a crucial role in the development of the society. If education system and technology work together then it makes unbelievable growth for