Evaluating Students Mobile Gaming Approach Using Data Mining Technique

Nowadays, mobile gaming is one of the interesting issues for today’s generation. It is part of entertainment for many people. Here, we have performed an online survey and collected 203 responses. The analysis is executed through the SPSS 22.0v software. Both unsupervised exploratory analysis and supervised learning is used to deal with the dataset. The result of the study gives emphasis on the human tendency to answer the questions. Here, gender-wise is significant with the sim users, the variety of features in mobile games, time of the playing games, their likings of playing the games, time spent on playing games, types of mobile game that they would like to play. Further, difference between location with types of mobile, mobile game that they would like to play, timings of playing mobile game, time spent on playing mobile games, searching features in mobile games, different types of mobile game that they would like to play, competing with friends to gain the highest score in a game contributes to playing more is observed. The obtained results are helpful in the development of the strategies regarding administrative as well as industry perspective.