Analysis of Results of Final Semester of B.E. (Civil Engineering), 2014 of Purbanchal University using Weka Tool: A mini Research Raj Kumar Thakur Associate Professor( Computer) Purbanchal University School of Engineering and Technology Biratnagar, Nepal Abstract - Data mining has been used as a very important tool in many areas of research, industry and business. This paper focuses on the application of data mining tool in educational domain to analyze the results of final semester examination to find out causes in the form of precise rules that technically controls final examination results. Once these rules have been found out, management control measures can be developed and implemented to improve examination results. Keywords- Data Mining, Business Intelligence, WEKA, Data Visualization, Classification 1. Introduction With the opening of more universities in Nepal and neighboring countries India and China, admissions in any public universities and educational institutions are likely to face imminent admission in crisis in near future. Nevertheless, number of admissions in B. E. degrees, especially Civil Engineering has been rising consistently over the past few years. A University would always like to see to it that not only quality education is being provided by all colleges run under it but also that passing percentage is also as high as possible specially in case of final semester students. As a great number of students is being admitted in B. E. Civil Engineering Program run in different colleges of Purbanchal University all over Nepal, it is extremely essential that students, especially of the final semester study hard and most hopefully all of them pass their final semester examination. However, final examination results of B.E. programs are not encouraging. Data mining is a very powerful tool used for the extraction of hidden predictive information from large databases and has a great potential to help educational institutes focus on the most important information in the data they have generated. Data mining techniques need to be applied to determine precise rules controlling the final examination results. With the help of data mining techniques, such as classification it is possible to discover the key decision rules from the final examination results of students and possibly use those rules to figure out the key course(s) that controls whether the student passes or fails. This paper presents classification based on J48 algorithm as a simple and efficient tool to analyze the final Examination results of B. E. (Civil Engineering) of Purbanchal University, Nepal. 2. METHODOLOGY The study followed the steps suggested by Fayyad, Piatetsky-Shapiro, and Smyth (1996) for the knowledge discovery process: data selection, data pre-processing and cleanup, data transformation, data mining, data interpretation, and the evaluation of results. Among the available data mining techniques, decision tree, J8 algorithm which is an extension of ID3 algorithm creates a small tree representing rules that provides extremely valuable insight as regards the classification and prediction of data. Algorithm used by ID3 is as follows