Student placement analyzer: A recommendation system using machine learning

SK Thangavel, PD Bkaratki… - 2017 4th International …, 2017 - ieeexplore.ieee.org
One of the biggest challenges that higher learning institutions face today is to improve the
placement performance of students. The placement prediction is more complex when the …

A review on student placement chance prediction

LC Joy, A Raj - 2019 5th International conference on advanced …, 2019 - ieeexplore.ieee.org
All students dream to obtain a job offer in their hands before they leave their college. A
placement chance predictor helps students to have an idea about where they stand and …

Student placement prediction system using machine learning

VK Harihar, DG Bhalke - SAMRIDDHI: A Journal of Physical …, 2020 - smsjournals.com
This paper presents an overview of the machine learning techniques that can be used to
predict a student's placement performance. The ability to predicting the performance of a …

Classification model to predict the learners' academic performance using big data

S Rajeswari, R Lawrance - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
Big Data is an emerging technology. There are many applications using this concept and
area of implementation is still larger. Different examples such as transport, healthcare …

Campus placement predictive analysis using machine learning

N Kumar, AS Singh… - … on advances in …, 2020 - ieeexplore.ieee.org
Each student dreams of having a work offer in their hands before leaving college. A
selection probability indicator lets students get an sense of where they're standing and what …

Identification of essential parameters for post graduate students' job placement in computer applications in India

C Patel - International Journal of Information Technology, 2018 - Springer
India is considered as the youngest country in the world as it is having the highest numbers
of young people in the age range of 20–40 years. It is very important for a young student to …

Enhancing Student Placement Predictions with a Trans-CLSTM Based Recommendation System

N Nishant, A Magadum, V Pandey… - 2024 International …, 2024 - ieeexplore.ieee.org
Enhancing students' employability poses a major hurdle for educational institutions in the
present day, considering the intricate nature of educational entities. Institutions are finding …

Preparing application of K-Nearest Neighbor (KNN): A supervised machine learning based model in placement prediction for graduate course students

G Sharma, AK Uttam - Recent Trends in Communication and …, 2021 - taylorfrancis.com
Placement is one of the important criteria for choosing a university or college for taking
admission in any course. Most of the rating agencies in the field of education like NAAC …

Student Placement Analyser and Predictor Using Machine Learning and Data Analytics

R Jangada, A Kulkarni, S Barge, V Lad - Information Systems for Intelligent …, 2023 - Springer
Improving the placement success of the students is one of the main difficulties that higher
education institutions confront nowadays. As educational entities become more complicated …

[PDF][PDF] Use Clustering Data of Student High School for Placement in Personalization E-Learning on Higher Education

Personalize the e-learning begins after students interact with the system by utilizing the
functions and features to collect data and process it so that the resulting information from …