An Effective College Prediction System using Time Series Analysis

Authors

  • Ravi Parmar  Department of Computer Engineering, Sinhgad Institute of Technology and Science, Narhe, Pune, Maharashtra, India
  • Dhaval Tandale  Department of Computer Engineering, Sinhgad Institute of Technology and Science, Narhe, Pune, Maharashtra, India
  • Avdhut Kanago  Department of Computer Engineering, Sinhgad Institute of Technology and Science, Narhe, Pune, Maharashtra, India
  • Rahul Repal  Department of Computer Engineering, Sinhgad Institute of Technology and Science, Narhe, Pune, Maharashtra, India
  • Prof. Geeta S. Navale  Head of Department of Computer Engineering, Sinhgad Institute of Technology and Science, Narhe, Pune, Maharashtra, India

DOI:

https://doi.org/10.32628/CSEIT1952164

Keywords:

Data Analytics, Time-Series, Data Prediction, ARIMA Model, Time Series Forecasting

Abstract

In recent times time series analysis has gained more importance with increasing applications. The time series data is related with a time stamp for each data. One of the possible applications is the prediction of cut-off of a college using time series analysis over is previous cut-offs. It is very important for a student to secure the best possible college for his graduation degree. For his further undergraduate studies, the student needs to apply for a list of colleges. It is very crucial which colleges the student applies for and what are the chances of him getting admission into that college. The future cut-off of a college can be predicted using methods such as time-series analysis which will aid the students to decide which colleges to apply to.

References

  1. Xu Lu, and Tianzhong Zhao, “Research on time series data prediction based on clustering algorithm - A case study of Yuebao”, 2017, AIP Conference Proceedings 1864, 020152 (2017); doi: 10.1063/1.4992969.
  2. EMIL LUNDKVIST, “Decision Tree Classification and Forecasting of Pricing Time Series Data”, July 2014.
  3. Hiren Kumar Deva Sarma, Swapnil Mishra, “Mining Time Series Data with Apriori Tid Algorithm”, 2016 International Conference on Information Technology.
  4. Tanwar, H, Kakkar M, “Performance comparison and future estimation of time series data using predictive data mining techniques”, 2017 International Conference on Data Management, Analytics and Innovation (ICDMAI). doi:10.1109/icdmai.2017.8073477
  5. Xiaoguo Wang , and Yuejing Liu, “ARIMA Time Series Application to Employment Forecasting”, 2009 , Proceedings of 2009 4th International Conference on Computer Science & Education, 978-1-4244-3521-0/09/$25.00©2009IEEE

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-04-30

Issue

Volume 5, Issue 2, March-April-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Ravi Parmar, Dhaval Tandale, Avdhut Kanago, Rahul Repal, Prof. Geeta S. Navale, " An Effective College Prediction System using Time Series Analysis" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.1186-1188, March-April-2019. Available at doi : https://doi.org/10.32628/CSEIT1952164