FI-FG: Frequent Item Sets Mining from Datasets with High Number of Transactions by Granular Computing and Fuzzy Set Theory

Table 3

The frequent item sets mined by FI-GF and Apriori.

Dataset	min_sup		Results of FI-GF									Results of Apriori
			Kosarak	0.1	0.5	1	3	6	1	3	6	1	3	6	1	3	6
1	3	11				1	3	11	1	3	11	1	3	11
1	6	11				1	6	11	1	6	11	1	6	11
3	6	11				3	6	11	3	6	11	3	6	11
T10I4D100K	0.0007	0.88	354	368	529	368	529	766	368	529	829	368	529	829
			354	368	722	368	529	829
			354	368	766	368	766	829
			354	368	829	529	766	829
			354	529	722
			354	529	766
			354	529	829
			354	722	766
			354	722	829
			354	766	829
			368	529	722
			368	529	766
			368	529	829
			368	722	766
			368	722	829
			368	766	829
			529	722	766
			529	722	829
			529	766	829
			722	766	829
Retail	0.07	0.1	32	38	39	32	38	39	32	38	39	39	41	48
			32	38	41	32	38	41	32	38	41
			32	38	48	32	38	48	32	38	48
			32	39	41	32	39	41	32	39	41
			32	39	48	32	39	48	32	39	48
			32	41	48	32	41	48	32	41	48
			38	39	41	38	39	41	38	39	41
			38	39	48	38	39	48	38	39	48
			38	41	48	38	41	48	38	41	48
			39	41	48	39	41	48	39	41	48
Connect	0.99	1	55	75	91	75	91	109	91	109	127	91	109	127
			55	75	109	75	91	127
			55	75	127	75	109	127
			55	91	109	91	109	127
			55	91	127
			55	109	127
			75	91	109
			75	91	127
			75	109	127
			91	109	127
Mushroom	0.6	1	34	36	85	34	36	85	34	85	86	34	85	86
			34	36	86	34	36	86	34	85	90	34	85	90
			34	36	90	34	36	90	34	86	90	34	86	90
			34	85	86	34	85	86	85	86	90	85	86	90
			34	85	90	34	85	90
			34	86	90	34	86	90
			36	85	86	36	85	86
			36	85	90	36	85	90
			36	86	90	36	86	90
			85	86	90	85	86	90