Equipment Quality Information Mining Method Based on Improved Apriori Algorithm

Table 2

Parameter setting and experimental results.

Data set	Support threshold	Time consumption/s		Number of candidate itemsets
		Classical algorithm	Improved algorithm	Classical algorithm	Improved algorithm
D1	10%	0.6	0.1	1584	350
D2	10%	10.3	0.2	7156	1445
D3	10%	29.1	0.4	8321	2893
D4	10%	42.5	7.3	19486	4950
D5	10%	167.2	17.8	42220	7387
D5	10%	167.2	17.8	/	/
D5	11%	131.1	17.3	/	/
D5	12%	97.7	15.5	/	/
D5	15%	85.3	14.9	/	/
D5	20%	11.5	2.3	/	/
D5	5%	/	/	134317	16252
D5	8%	/	/	75624	8028
D5	10%	/	/	42220	7387
D5	12%	/	/	25593	6822
D5	15%	/	/	16961	6430