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Table 3 Cluster-wise association rules

From: A data mining framework to analyze road accident data

Rule no. Rule body Support Confidence Lift
Cluster 1
1 {HIW, INT, COL} →{1} 0.54 0.75 5.24
2 {HIW, CUR} → {1, DUS} 0.45 0.86 4.47
3 {NHW, INT, MAR} → {>2, DLT} 0.65 0.61 2.31
4 {NHW, INT} → {COL} 0.38 0.52 2.63
5 {HIW, MAR} → {+2} 0.35 0.55 1.54
6 {NHW, COL} → {+2} 0.58 0.65 1.26
7 {INT, COL} → {NLT} 0.62 0.66 1.23
8 {MAR, DUS} → {INT, T5} 0.36 0.54 1.20
9 {HIW, HOS} → {T6} 0.54 0.84 1.14
10 {MAR, T6} → {HIW} 0.47 0.69 1.11
Cluster 2
11 {HIW, SLP} → {HIL} 0.63 0.8 3.16
12 {HIW, NLT} → {FOR} 0.56 0.74 3.14
13 {HIW, AGL} → {+2} 0.40 0.68 2.75
14 {HIW}→ {AGL} 0.54 0.75 2.71
15 {FOR, T6] → {CUR, NLT} 0.56 0.74 1.98
16 {CUR} → {HIL, T2] 0.69 0.71 1.95
17 {HIL, CUR} → {+2} 0.36 0.65 1.65
18 {AGL, CUR} → {T5} 0.42 0.58 1.35
19 {YNG, HIL} → {T3, CUR} 0.45 0.64 1.23
20 {FOR, UNK} → {NLT} 0.39 0.46 1.15
Cluster 3
21 {HIW, HIL} → {+2, CR} 0.78 0.90 3.18
22 {CUR, HIL, ADL} → {HIW} 0.64 0.85 2.93
23 {HIW, HIL, +2} → {CR} 0.85 0.95 2.87
24 {HIW, CUR} → {HIL} 0.82 0.88 2.58
25 {FOR} → {NC} 0.78 0.65 1.78
26 {NHW} → {FOR} 0.45 0.50 1.76
27 {HIL, ADL} → {CR} 0.42 0.65 1.64
28 {T2, HIL} → {NLT} 0.39 0.46 1.30
29 {CUR} → {HIL, T5} 0.46 0.80 1.25
30 {HIL, SLOPE} → {HIW} 0.35 0.74 1.22
Cluster 4
31 {HIW, NLT} → {INT, T6} 0.65 0.78 4.85
32 {HIW, CUR} → {NLT, T1} 0.78 0.85 3.81
33 {NLT} → {INT} 0.74 0.7 3.77
34 {HIW, DAY} → {INT, NC} 0.70 0.84 2.73
35 {NHW, NLT} → {SLP} 0.40 0.65 3.38
36 {T6, AGL} → {NLT, CR} 0.55 0.65 2.56
37 {CUR, T1, HIW} → {FOR} 0.36 0.46 2.16
38 {FOR} → {NLT, HIW} 0.54 0.74 1.98
39 {RLT, MAR} → {INT, NC} 0.57 0.66 1.80
40 {HIW} → {NLT, AGL} 0.56 0.84 1.65
Cluster 5
41 {NHW, MAR} → {YNG} 0.48 0.87 3.22
42 {COL, INT} → {NHW, DUS} 0.56 0.92 3.11
43 {INT, NLT} → {AGL, T2} 0.58 0.74 2.31
44 {HIW, INT} → {MAR} 0.38 0.46 2.11
45 {T3, DAY} → {NC, INT} 0.65 0.69 2.05
46 {NLT, INT} →{CR, T6} 0.39 0.82 1.95
47 {HOS, NLT} → {T6} 0.54 0.81 1.80
48 {MAR} → {NC, DAY} 0.46 0.64 1.78
49 {RLT, INT} → {MAR} 0.51 0.79 1.50
50 {AGL, ADL} → {NLT} 0.36 0.78 1.45
Cluster 6
51 {FOR, SLP} → {NLT} 0.45 0.65 3.62
52 {AGL, DUS} → {CUR} 0.35 0.54 3.58
53 {FOR} → {NLT, UNK} 0.65 0.78 2.46
54 {HIW, T2} → {AGL} 0.58 0.81 2.42
55 {AGL, UNK} → {NHW} 0.64 0.85 2.12
56 {UNK} →{DAY, COL} 0.58 0.65 1.94
57 {RLT, UNK} → {NC, MAR} 0.45 0.75 1.68
58 {ADL, AGL} → {UNK} 0.64 0.68 1.42
59 {AGL, INT} → {NC} 0.39 0.75 1.35
60 {FOR} → {CUR} 0.40 0.68 1.34
Entire data set (EDS)
61 {HIW, INT} → {NC, MAR} 0.40 0.75 5.45
62 {FOR, NLT, M} → {HIW, TWH} 0.52 0.65 4.35
63 {HIW, NC} → {AGL, DAY} 0.64 0.79 4.25
64 {NHW, T5} → {NC, COL} 0.38 0.65 4.36
65 {HIW, HIL} → {NLT, NC} 0.42 0.74 3.89
66 {HIW, YNG} → {NC, TWH} 0.46 0.65 3.48
67 {NHW, MAR} → {M, NC} 0.47 0.65 3.26
68 {HIW, UNK} → {NC, TWH} 0.56 0.69 2.98
69 {NHW, T6, UNK} → {NC} 0.65 0.62 2.46
70 {NHW, COL} → {NC, M} 0.39 0.74 2.15