… analysis of student academic performance is vital for student … factors which effect student
performance such as family factor, … The data mining tool we have used is Weka 3.6 opensource …

… The students‟ data set is loaded in weka and converted to arff file. The pre-processing
step is required as it applies a filter to change the ordering of data elements in the data set. …

… Student achievement and progress may be measured by gaining knowledge from such
data. The WEKA tool is used to perform the classification procedure. The study’s findings …

… students and institute get facilitate. In this paper we have pre-processed our dataset and used
WEKA machine learning tool for … WEKA & Rapid miner was the main tools in this research (…

… Bootstrap method is a resample function available in WEKA tool kit. The excellent results of
this … a comparative study of the previous work related to student’s performance predictions. …

… is the first to analyze student performance, engagement, behavior, and personality simultaneously
using data from Moodle course logfiles with support of Weka classification algorithms. …

… predict the performance of the students and compared the efficiency of two classifiers namely
decision tree and Bayesian networks using WEKA tool. In this research the performance of …

… In this paper, we predict student performance and build a predictive model using Data …
analysis purpose, we used an open source software tool named WEKA. It offers a wide range of …

… data from both databases is carefully selected, extracted and combined in a new flat file (in
this case Excel file) used for the data mining analysis in the WEKA software tool. …

… UG students and presented their result analysis in WEKA tool. … for clustering the students to
improve the performance of stu… rule mining framework for students performance evaluation. In …