Machine Learning Techniques and Analytics for Cloud Security. Группа авторов

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Machine Learning Techniques and Analytics for Cloud Security - Группа авторов


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Schematic illustration of fuzzy c-means cluster analysis of Influenza A (H1N1) infected human.

      Figure 2.10 Fuzzy c-means clustering algorithm of Influenza A (H1N1) infected human.

Schematic illustration of fuzzy c-means cluster analysis of Influenza A (H1N1) infected human.

      Table 2.1 Significant glycan list.

Sr. no. Structure
1 Neu5Aca2-3(6-O-Su)Galb1-4(Fuca1-3)GlcNAcb-Sp8
2 Neu5Aca2-6Galb1-4GlcNAcb1-3Galb1-4(Fuca1-3)GlcNAcb1-3Galb1-4(Fuca1-3) GlcNAcb-Sp0
3 Galb1-4GlcNAcb1-2Mana1-3(Neu5Aca2-6Galb1-4GlcNAcb1-2Mana1-6) Manb1-4GlcNAcb1-4GlcNAcb-Sp12
4 GlcAb1-3GlcNAcb-Sp8
5 Mana1-2Mana1-2Mana1-3(Mana1-2Mana1-6(Mana1-2Mana1-3)Mana1-6)Mana-Sp9
6 GlcNAcb1-2Mana1-3(Galb1-4GlcNAcb1-2Mana1-6) Manb1-4GlcNAcb1-4GlcNAc-Sp12
7 Galb1-4GlcNacb1-2(Galb1-4GlcNacb1-4)Mana1-3(Galb1-4GlcNacb1-2(Galb1-4GlcNacb1-6)Mana1-6)Manb1-4GlcNacb1-4GlcNacb-Sp21
8 Galb1-3Galb1-4GlcNAcb-Sp8
9 Galb1-3(Neu5Aca2-6)GalNAca-Sp14
10 Neu5Aca2-6Galb1-4Glcb-Sp0
11 Neu5Aca2-3Galb1-4GlcNAcb1-2Mana1-3(Neu5Aca2-3Galb1-4GlcNAcb1-2Mana1-6)Manb1-4GlcNAcb1-4GlcNAcb-Sp12
12 Neu5Aca2-6Galb1-4GlcNAcb1-2Mana1-3(Neu5Aca2-3Galb1-4GlcNAcb1-2Mana1-6)Manb1-4GlcNAcb1-4GlcNAcb-Sp12
13 Neu5Aca2-6GlcNAcb1-4GlcNAcb1-4GlcNAc-Sp21
14 Neu5Aca2-3Galb1-4GlcNAcb-Sp8
15 Neu5Aca2-6Galb1-4GlcNAcb-Sp0
16 Neu5Gca2-3Galb1-4(Fuca1-3)GlcNAcb-Sp0
17 Neu5Aca2-3Galb1-4GlcNAcb1-3Galb1-3GlcNAcb-Sp0
18 Neu5Aca2-6Galb1-4GlcNAcb1-3Galb1-6GlcNAcb-Sp8
19 Neu5Aca2-3Galb1-3GalNAcb1-4(Neu5Aca2-8Neu5Aca2-3)Galb1-4Glcb-Sp0

      Table 2.2 The tabular format has been created from the above diagram.

Our experiment Gold Set
Positive (+) Negative (−)
Positive (+) T_Pos F_Pos
Negative (−) F_Neg T_Neg

      In our experiment, the value of t-pos = 14, F_pos = 5, F_Neg = 5, and T_neg = 418. Performance of our method using various metrices.

Schematic illustration of type-I and type-II error in terms set.

      Table 2.3 Performance of the method using various metrices.

Parameter Value
Sensitivity 0.736
True negative rate 0.976
Precision 0.736
Negative-predictive value 0.163
Miss
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