$3.$ Please indicate which attribute should be removed during the derivation process. $4.$ Please indicate the threshold value T for the number of distinct values of each remaining attribute. $5.$ Please give the detailed intermediate tables in the derivation process, mark the tuples which overlap between the target class and contrast class, and make assumptions whenever necessary. $6.$ Please make reference to the following materials for the examination: Jiawei Han, Yandong Cai, and Nick Cercone, $$Data$-$Driven Discovery of Quantitative Rules in Relational Databases,$$ IEEE Transactions on Knowledge and Data Engineering, Vol. $5,$ No$.1,1993,$ pp$.29-40.$ Yandong Cai, Nick Cercone, and Jiawei Han, $$An Attribute$-$Oriented Approach for Learning Classification Rules from Relational Databases,$$ in Proceedings of Sixth International Conference on Data Engineering, February $1990,$ pp$.281-288.$ Lecture notes: Characteristic and Classification and Rules Derivation posted in Canvas Module.