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Survey Paper | Computer Science & Engineering | India | Volume 5 Issue 12, December 2016 | Rating: 6.2 / 10
A Review on Recommender Systems for University Admissions
Aditi Bhide, Karan Karnik, Pradnya Badge, Varun Joshi, Vina M. Lomte
Abstract: Data mining is the process of exploring and discovering patterns in large datasets. It involves analyzing a data set from different aspects and summarizing it into usable and useful information which can be used to minimize costs and increase efficiency. Students are unaware of the best institute suited for them due to insufficient information. A large number of students apply to universities for admissions in various streams. This paper explores the various recommender mechanisms that use data mining and neural networks to tackle university admission problems.
Keywords: data mining, recommender systems, neural networks, university admissions
Edition: Volume 5 Issue 12, December 2016,
Pages: 141 - 146