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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