An incremental ensemble of classifiers as a technique for prediction of student's career choice
R Ade, PR Deshmukh - 2014 First International Conference on …, 2014 - ieeexplore.ieee.org
The ability to predict the career of students can be beneficial in a huge number of different
techniques which are connected with the education structure. Student's marks and the result
of some kind of psychometric test on students can form the training set for the supervised
data mining algorithms. As the student's data in the educational systems is increasing day by
day, the incremental learning properties are important for machine learning research.
Against to the classical batch learning algorithm, incremental learning algorithm tries to …
techniques which are connected with the education structure. Student's marks and the result
of some kind of psychometric test on students can form the training set for the supervised
data mining algorithms. As the student's data in the educational systems is increasing day by
day, the incremental learning properties are important for machine learning research.
Against to the classical batch learning algorithm, incremental learning algorithm tries to …
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