Menghitung Nilai Penambangan Data Dengan Microsoft Excel
87, 37, 27, 26, 25, 38 30
36, 92, 53, 96, 65, 39, 64, 73, 97, 56, 24, 23, 88, 69, 87, 37, 90, 27, 26, 25, 38, 55, 84, 63, 83, 15,, 70,
41, 1, 42
40 36, 92, 53, 96, 65, 39, 64, 73, 97, 56, 24, 23, 88, 69,
87, 37, 90, 27, 26, 25, 38, 55, 84, 63, 83, 15, 70, 41, 1, 42, 13, 46, 14, 33, 45, 60, 30, 44, 49, 32
50 36, 39, 53, 92, 96, 23, 24, 37, 56, 64, 65, 69, 73, 87,
88, 97, 25, 26, 27, 38, 55, 90, 42, 1, 15, 41, 63,70, 83,84, 13, 14, 30, 32, 33, 44, 45, 46, 49, 60, 61, 77,
80, 81, 82, 91, 94, 95, 2, 3
17 10
36,53, 39, 73, 64, 24, 56, 23, 69, 37 20
36, 53, 39, 92, 73, 64, 94, 97, 24, 56, 88, 23, 69, 87, 37, 96, 38, 55, 25, 26
30 36, 53, 39, 92, 73, 64, 94, 97, 24, 56, 88, 23, 69, 87,
37, 96, 38, 55, 27, 25, 26, 42, 65, 90, 17, 18, 13, 15, 11, 14
40 36, 53, 39, 92, 73, 64, 94, 97, 24, 56, 88, 23, 69, 87,
37, 96, 38, 55, 27, 25, 26, 42, 65, 90, 17, 18, 13, 15, 82, 70, 11, 14, 80, 19, 45, 12, 41, 16, 75, 1
50 36, 53, 39, 92, 73, 64, 94, 97, 24, 56, 88, 23, 69, 87,
37, 96, 38, 55, 27, 25, 26, 42, 65, 90, 17, 18, 13, 15, 82, 70, 11, 14, 80, 19, 45, 12, 41, 16, 75, 1, 83, 50,
81, 31, 52, 34, 84, 28, 29, 35
27 10
36, 53, 92, 64, 73, 94, 97, 24, 37, 39 20
36, 53, 92, 64, 73, 94, 97, 24, 37, 39, 88, 23, 69, 87, 96, 38, 55, 25, 26, 42
30 36, 53, 92, 64, 73, 94, 97, 24, 37, 39, 88, 23, 69, 87,
96, 38, 55, 56, 25, 26, 42, 27, 65, 90, 17, 11, 13, 14, 15, 16
40 36, 53, 92, 64, 73, 94, 97, 24, 37, 39, 88, 23, 69, 87,
96, 38, 55, 56, 25, 26, 42, 27, 65, 90, 17, 11, 18, 13, 14, 15, 16, 91, 8, 70, 19, 10, 2, 28, 12, 1
50 36, 53, 92, 64, 73, 94, 97, 24, 37, 39, 88, 23, 69, 87,
96, 38, 55, 56, 25, 26, 42, 27, 65, 90, 17, 11, 18, 13, 14, 15, 16, 91, 8, 70, 19, 10, 2, 50, 63, 31, 34, 59,
41, 45, 48, 28, 29, 35, 12, 1
37 10
36, 53, 92, 64, 73, 94, 97, 24, 37, 39 20
36, 53, 92, 64, 73, 94, 97, 24, 37, 39, 88, 23, 69, 87, 96, 38, 55, 25, 26, 42
30 36, 53, 92, 64, 73, 94, 97, 24, 37, 39, 88, 23, 69, 87,
96, 38, 55, 56, 25, 26, 42, 27, 65, 90, 17, 11, 13, 14, 15, 16
40 36, 53, 92, 64, 73, 94, 97, 24, 37, 39, 88, 23, 69, 87,
96, 38, 55, 56, 25, 26, 42, 27, 65, 90, 17, 11, 18, 13,
14, 15, 16, 91, 8, 70, 19, 10, 2, 28, 12, 1 50
36, 53, 92, 64, 73, 94, 97, 24, 37, 39, 88, 23, 69, 87, 96, 38, 55, 56, 25, 26, 42, 27, 65, 90, 17, 11, 18, 13,
14, 15, 16, 91, 8, 70, 19, 10, 2, 50, 63, 31, 34, 59, 41, 45, 48, 28, 29, 35, 12, 1
47 10
94, 97, 36, 88, 37, 96, 53, 38, 39, 42 20
94, 97, 36, 88, 37, 96, 64, 53, 56, 69, 87, 38, 39, 42, 92, 73, 23, 24, 55, 25
30 94, 97, 36, 88, 37, 96, 64, 53, 56, 69, 87, 38, 39, 42,
92, 73, 23, 24, 55, 27, 25, 26, 65, 90, 45, 76, 80, 82, 91, 43
40 94, 97, 36, 88, 37, 96, 64, 53, 56, 69, 87, 38, 39, 42,
92, 73, 23, 24, 55, 27, 25, 26, 65, 90, 45, 76, 80, 82, 91, 43, 51, 83, 66, 70, 18, 14, 16, 3, 11, 12
50 94, 97, 36, 88, 37, 96, 64, 53, 56, 69, 87, 38, 39, 42,
92, 73, 23, 24, 55, 27, 25, 26, 65, 90, 45, 76, 80, 82, 91, 43, 51, 83, 66, 70, 18, 14, 16, 63, 71, 62, 34, 44,
49, 60, 35, 3, 17, 11, 12, 19
COF adalah nilai probabilitasderajat sebuah
instance
dapat menjadi
outlier
.
Outlier
adalah data dengan nilai COF terendah.
Class outlier
adalah
instances
yang mempunyai derajat tinggi sebagai
outlier
. Untuk dapat mengetahui pengaruh k dan
top N
dalam proses deteksi
outlier
menggunakan algoritma ECODB, dapat dilihat dari perubahan nilai COF berdasarkan
masukan k dan
top N
yang berubah – ubah.
Karena nilai COF bergantung pada masukan
top N
, maka untuk memudahkan perbandingan dari hasil deteksi, nilai COF ditampilkan dalam
bentuk rata – rata
means
. Kolom
min COF
dan
max COF
dapat digunakan untuk melihat seberapa jauh jarak nilai
means
terhadap
min COF
dan
max COF
. Dari tabel 4.8, dapat dilihat bahwa semakin tinggi nilai masukan k dan
top N
, maka semakin tinggi pula nilai COF.
Tabel 4.4 Nilai rata
– rata COF berdasarkan masukan k dan
top N
yang berubah - ubah
k
Top N
Min COF
Max COF
Means COF
7 10
0.99 2.84
1.77 20
0.99 3.14
2.06 30
0.99 4.81
2.78 40
0.99 5.55
3.445 50
0.99 6.22
3.89
17 10
2.39 5.7
4.15 20
2.39 9.95
5.6 30
2.39 33.62
12.69 40
2.39 35.93
18.31 50
2.39 38.43
21.89
27 10
3.82 8.56
6.8 20
3.82 16.31
10.13 30
3.82 84.47
31.71 40
3.82 92.06
46.02 50
3.82 92.15
55.23
37 10
10.53 16.39
14.01 20
10.53 26.66
18.51 30
10.53 163.44
59.07 40
10.53 168.64
85.81 50
10.53 168.72
102.38
47 10
13.53 27.73
22.53 20
13.53 33.78
26.44 30
13.53 254.62
93.35 40
13.53 261.42
135.35 50
13.53 268.13
161.76