Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{144158,
        author = {Aishwarya Vilasrao Kadu and Dr. G.R.Bamnote},
        title = {A Review on Predication of Students Performance Using Data Mining.},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {3},
        number = {7},
        pages = {138-142},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=144158},
        abstract = { The achievement of the good honours which is in the Undergraduate degrees which is the important in the context of Higher Education i.e (HE), and both for students and for the institutions that host them. we attempt to use data mining techniques to predict students’ outcomes based on early module performance and other student characteristics. In this paper, we work on whether the data mining can be used to highlight performance problems early in that  and propose remedial actions. Many more are the some of the methods may also form the basis for recommender systems in that may guide students towards their module choices to increase the good outcomes their chances is necessary for good outcome. We use data collected through the admission process and through the students’ degrees. In this paper, we predict good honours outcomes based on data at admission also on the first year results of modules. To validate the proposed results modules, we evaluate the system whether the data relating to students with different characteristics from the different schools and the collages. Many universities have specific targets for students achieving good honor degrees. },
        keywords = {Classification; Data Mining; Performance Prediction; Recommender System.},
        month = {},
        }