This paper aims to calculate the factors and build prediction models for the persuasive message changing student's attitude by applying classification techniques. We used a questionnaire to collect data such as gender, age and their satisfaction with persuasive messages, obtained from students at other country Universities.
The classification rule generation process is based on the decision tree as a classification method where the generated rules are studied and evaluated. We compared the results obtained from three algorithms.
by K. Prakash | R. Praveenkumar | K. Kanniyarasu | S. P. Santhoshkumar "A Survey on Significance for Changes Student's thoughts using Data Mining"
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018,
URL: http://www.ijtsrd.com/papers/ijtsrd11245.pdf
Direct Link - http://www.ijtsrd.com/engineering/computer-engineering/11245/a-survey-on-significance-for-changes-student's-thoughts-using-data-mining/k-prakash
paper publication for student, peer reviewed journals, mathematics journal
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