A Novel Web Classification Algorithm Using Fuzzy Weighted Association Rules

Table 4

The rules identified using apriori algorithm.

Using Boolean Apriori algorithm
No.	Rules	Support	Confidence
1	11→1	5.97	57.39
2	10→1	5.00	53.21
3	7→1	8.01	46.56
4	2→1	17.76	42.99
5	12→1	11.18	39.35
6	14→1	11.96	34.09
7	4→1	12.43	33.05
8	3→1	12.38	27.48
9	6→1	21.84	18.88
10	15→1	21.84	18.88
11	10→2	5.00	34.53
12	11→2	5.97	30.88
13	7→2	8.01	24.28
14	6→2	32.19	23.72
15	4→2	12.43	22.23
16	12→2	11.18	21.04
17	3→2	12.38	20.23
18	14→2	11.96	16.14
19	1→3	7.64	18.96
20	12→3	5.00	18.36
21	7→4	8.01	33.40
22	3, 6→4	7.64	22.02
23	9→4	9.10	21.29
24	11→4	5.97	19.32
25	10→4	5.00	17.89
26	2→4	17.76	15.56
27	1, 7→6	8.01	40.31
28	15→6	5.00	27.53
29	1, 2→6	7.64	20.69
30	11→6	5.97	19.29
31	4→6	12.43	17.30
32	9→6	9.10	16.89
33	4→7	12.43	21.53
34	1, 2→7	7.64	16.94
35	6, 7→9	8.01	16.47
36	3→9	12.43	15.59
37	2, 7→10	7.64	15.83
38	12→11	7.64	18.07
39	2→12	7.64	20.30
40	15→12	5.97	19.09
41	10→12	5.00	18.03
42	14→13	11.96	15.25
43	13→14	7.78	23.44
44	2→14	7.64	16.48
45	11→14	5.97	15.93