Table 2.

The various parameter values that comprised experimental setup tested on synthetic datasets

Experimental setup identifier	Values of ε	Dataset name	Number of observations = N	Number of categorical attributes = D	Number of allowed values for each attribute = A
ES_Syn_1	[ln(2), ln(3), ln(4), ln(5), ln(6), ln(7)]	50K_5D	50,000	5	[10, 10, 10, 10, 10]
ES_Syn_2	[ln(2), ln(3), ln(4), ln(5), ln(6), ln(7)]	50K_10D	50,000	10	[10, 10, 10, 10, 10, 10, 10, 10, 10, 10]
ES_Syn_3	[ln(2), ln(3), ln(4), ln(5), ln(6), ln(7)]	500K_5D	500,000	5	[10, 10, 10, 10, 10]
ES_Syn_4	[ln(2), ln(3), ln(4), ln(5), ln(6), ln(7)]	500K_10D	500,000	10	[10, 10, 10, 10, 10, 10, 10, 10, 10, 10]
ES_Syn_5	[ln(2), ln(3), ln(4), ln(5), ln(6), ln(7)]	500K_10D_NU	500,000	10	[10, 20, 30, 40, 50, 60, 70, 80, 90, 100]
ES_Syn_6	[ln(2), ln(3), ln(4), ln(5), ln(6), ln(7)]	500K_20D_NU	500,000	20	[10, 10, 20, 20, 30, 30, 40, 40, 50, 50, 60, 60, 70, 70, 80, 80, 90, 90, 100, 100]
ES_Syn_7	[2, 3, 4, 5, 6, 7]	50K_5 D	50,000	5	[10, 10, 10, 10, 10]
ES_Syn_8 ara>	[2, 3, 4, 5, 6, 7]	50K_10 D	50,000	10	[10, 10, 10, 10, 10, 10, 10, 10, 10, 10]
ES_Syn_9	[2, 3, 4, 5, 6, 7]	500K_5D	500,000	5	[10, 10, 10, 10, 10]
ES_Syn_10	[2, 3, 4, 5, 6, 7]	500K_10D	500,000	10	[10, 10, 10, 10, 10, 10, 10, 10, 10, 10]
ES_Syn_11	[2, 3, 4, 5, 6, 7]	500K_10D_NU	500,000	10	[10, 20, 30, 40, 50, 60, 70, 80, 90, 100]
ES_Syn_12	[2, 3, 4, 5, 6, 7]	500K_20D_NU	500,000	20	[10, 10, 20, 20, 30, 30, 40, 40, 50, 50, 60, 60, 70, 70, 80, 80, 90, 90, 100, 100]