Using the following methods to find frequent patterns in data created by "IBM Quest Synthetic Data Generator".
(1) Brute force
(2) Apriori algorithm
(3) Fp growth method
Each item's representation
1-- Absenteeism time in hours > mean value
2-- Mon
3-- Tue
4-- Wed
5-- Thu
6-- Fri
7-- Distance from residence to working > median value
8-- Disciplinary failure == 1
9-- Education == 1 (high school)
10-- Social drinker == 1 (Yes)
Above are the several features that I thought would be outstanding