DOSLP:Dataset of Student Location Prediction inside the University in India
Description
In the field of education it is very important to notice the students location once they have entered inside the university campus from morning to evening. So students will visit different locations inside the university campus frequently like cafeteria, library etc. In our research we have designed and developed the web interface to collect the students location dataset from private technical university in India. A permission letter was granted from the university computer science program director from University, India. The dataset is anonymised by eliminating sensitive and identifiable students’ information and prepared to be used for location prediction of students location inside the university campus. Also by using the students dataset we are preprocessing ,and analyzing number of students spending time in the different location of the university and also we are categorizing the gender of the students ratio who spends time in the different location of the campus.
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Steps to reproduce
In the field of education it is very important to notice the students location once they have entered inside the university campus from morning to evening. So students will visit different locations inside the university campus frequently like cafeteria, library etc. In our research we have designed and developed the web interface to collect the students location dataset from private technical university in India. A permission letter was granted from the university computer science program director from University, India. The dataset is anonymised by eliminating sensitive and identifiable students’ information and prepared to be used for location prediction of students location inside the university campus. Also by using the students dataset we are preprocessing ,and analyzing number of students spending time in the different location of the university and also we are categorizing the gender of the students ratio who spends time in the different location of the campus.In the field of education students enrollment is very important in the technical and non technical universities. In this research students dataset plays an important role to analyze and predict the students locations. So to collect the dataset in the web interface using html form shown in the figure 1 and stored data in the mysql database using Hyper text Preprocessing(Php)scripting language. The university name, student name and student register numbers are eliminated as per ethical approval.