The first assumption assumed that the past results were considered as good predictors of the future (if the student generation is changed, therefore; their attitude and behavior may vary from the past and create different student pattern). The next assumption assumed that the data was available at hand.
The researchers assumed that the data will be always available for HEIs. The last assumption assumed that the data contained what the researchers aimed to predict – the research data mining model as a result contains the relevant data for analysis