Abstract
This study focuses on the students internet use in their personal life. Various aspects has been assumed with the help of data mining technique and tried to obtain some hidden outcomes of student’s internet behavior. The special focus is to test the significance based the on gender wise, location wise and different financial income group perspective to discriminate the behavioral pattern. Here, online survey is carrying out and 217 students information is gathered. The random sampling is performed for collection of data. The unsupervised and supervised learning analysis was carried out with SPSS 22.0v software package. The obtained result helps in future planning the direction of appropriate use of internet by students.
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Muley, A., Tangawade, A. (2019). Data Mining Learning of Behavioral Pattern of Internet User Students. In: Santosh, K., Hegadi, R. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018. Communications in Computer and Information Science, vol 1037. Springer, Singapore. https://doi.org/10.1007/978-981-13-9187-3_48
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DOI: https://doi.org/10.1007/978-981-13-9187-3_48
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