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Vinayak M. Hegde

Asst. Professor

Vinayak M. Hegde currently serves as the Dy. Controller of Exams and Assistant Professor at the Department of Computer Science, School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Mysuru campus.

Qualification: MSc
vinayakhegde@my.amrita.edu
Research Interest: Data Science, Educational Data Mining, Learning Analytics

Bio

Vinayak M. Hegde currently serves as the Dy. Controller of Exams and Assistant Professor at the Department of Computer Science, School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Mysuru campus.

Publications

Journal Article

Year : 2018

The framework for web-based automated online question paper generator through JEE

Authors : Vinayak M. Hegde, Rao L.V., Shivali B.S.

Publisher : International Journal of Engineering and Technology(UAE)

V. Hegde, “The Framework for Web-Based Automated Online Question Paper Generator through JEE”, International Journal of Engineering & Technology, vol. 7, no. 3, pp. 1415-1419, 2018.

Year : 2015

Opinion Mining and Market Analysis

Authors : Vinayak M. Hegde, Karthika, P, Madhu, M.G.

Publisher : International Journal of Applied Engineering Research

Hegde, V., Karthika, P., Madhu, M.G., Opinion mining and market analysis (2015) International Journal of Applied Engineering Research, 10 (10), pp. 25629-25636.

Year : 2015

Analysis of Students Behavior using Moving Objects by Rpart and Rattle – R software

Authors : Vinayak M. Hegde, Pallavi, M.S.

Publisher : International Journal of Applied Engineering Research

Pallavi, M.S., Hegde, V., Analysis of students behavior using moving objects by rpart and rattle - R software (2015) International Journal of Applied Engineering Research, 10 (11), pp. 30167-30175.

Conference Paper

Year : 2021

Predicting Students Performance Through Behavior and Computational Thinking in Programming

Authors : Vinayak M. Hegde, Pallavi M. S., Meghana, H.; Spandana, R.

Publisher : 5th International Conference on ICT for Sustainable Development, ICT4SD

V. Hegde, Meghana, H., Spandana, R., and S, P. M., “Predicting Students Performance Through Behavior and Computational Thinking in Programming”, in 5th International Conference on ICT for Sustainable Development, ICT4SD, Advances in Intelligent Systems and Computing, 2021, vol. 1270, pp. 417-429.

Year : 2018

A Framework to Analyze Performance of Student’s in Programming Language Using Educational Data Mining

Authors : Vinayak M. Hegde, Sushma Rao H.

Publisher : 2018 IEEE International Conference on Computational Intelligence and Computing Research

Vinayak C. Hegde and Sushma Rao H., “A Framework to Analyze Performance of Student's in Programming Language Using Educational Data Mining”, in 2018 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), Coimbatore, India, 2018.

Year : 2018

Higher education student dropout prediction and analysis through educational data mining

Authors : Vinayak M. Hegde, Prageeth, P.P.

Publisher : 2018 2nd International Conference on Inventive Systems and Control

V. Hegde and P., P. P., “Higher education student dropout prediction and analysis through educational data mining”, in 2018 2nd International Conference on Inventive Systems and Control (ICISC), Coimbatore, India, 2018.

Year : 2017

Student residential distance calculation using Haversine formulation and visualization through GoogleMap for admission analysis

Authors : Vinayak M. Hegde, Aswathi T.S., Sidharth R.

Publisher : 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016

Vinayak M. Hegde, Aswathi T. S., and R., S., “Student residential distance calculation using Haversine formulation and visualization through GoogleMap for admission analysis”, in 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016, 2017.

Year : 2017

Dimensionality reduction technique for developing undergraduate student dropout model using principal component analysis through R package

Authors : Vinayak M. Hegde

Publisher : 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016

Vinayak M. Hegde, “Dimensionality reduction technique for developing undergraduate student dropout model using principal component analysis through R package”, in 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016, 2017.

Year : 2016

Book Recommendation System through content based and collaborative filtering method

Authors : Vinayak M. Hegde, Praveena Mathew, Bincy Kuriakose

Publisher : 2016 International Conference on Data Mining and Advanced Computing (SAPIENCE)

Praveena Mathew, Bincy Kuriakose, Vinayak M. Hegde, "Book Recommendation System through content based and collaborative filtering method", Proceedings of 2016 International Conference on Data Mining and Advanced Computing, SAPIENCE 2016, art. no. 7684166, pp. 47-52.

Year : 2016

Prediction of students performance using Educational Data Mining

Authors : Vinayak M. Hegde, Devasia, T., Vinushree, T.P.

Publisher : International Conference on Data Mining and Advanced Computing, SAPIENCE 2016

Devasia, T., Vinushree, T.P., Hegde, V., "Prediction of students performance using Educational Data Mining", Proceedings of 2016 International Conference on Data Mining and Advanced Computing, SAPIENCE 2016, art. no. 7684167, pp. 91-95, 2016.

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