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An Effective College Prediction System using Time Series Analysis
Author(s) -
Ravi Parmar,
Dhaval Tandale,
Avdhut Kanago,
Rahul Repal,
Geeta S. Navale Prof.
Publication year - 2019
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit1952164
Subject(s) - graduation (instrument) , time series , series (stratigraphy) , computer science , mathematics education , medical education , psychology , machine learning , mathematics , medicine , paleontology , geometry , biology
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.

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