Adaptiivinen ja älykäs data

Computer Science

1. Algorithms 100%
2. Representation 73%
3. Approximation (Algorithm) 49%
4. Approximation Algorithms 45%
5. Heuristics 42%
6. Contexts 38%
7. Classifier 35%
8. Networks 35%
9. Interpretability 35%
10. Real World 34%
11. Models 34%
12. Classification 28%
13. Clustering 28%
14. Application 28%
15. Bayesian Networks 21%
16. Workload 21%
17. Social Networks 21%
18. Low-Rank 21%
19. Kernel Function 21%
20. Similarity Function 21%
21. Partitioning 21%
22. Pattern Detection 21%
23. Lower Bounds 21%
24. Dimensionality Reduction 21%
25. Spectral Property 21%
26. Optimization Problem 21%
27. Evaluation 19%
28. Design 17%
29. Constant Factor 17%
30. Problem Formulation 17%
31. Instantiation 14%
32. Predictive Performance 14%
33. Scalability 14%
34. Optimization 12%
35. Cardinality 10%
36. Experimental Result 10%
37. Multiplicative Factor 10%
38. Benchmark 10%
39. Radial Basis Function 10%
40. Poisson Process 10%
41. Extracted Data 10%
42. Domains 10%
43. Distance Function 10%
44. Records 10%
45. Efficient Implementation 10%
46. Validation 10%
47. Mean Clustering Algorithm 10%
48. Local Search Algorithm 10%
49. Efficient Algorithm 10%
50. Data Collection 10%
51. Randomized Algorithm 10%
52. Combinatorial Optimization Problem 10%
53. Popular News Source 10%
54. Cluster Representative 10%
55. Objective Function 10%
56. Transformations 7%
57. Connectivity 7%
58. Maximization Problem 7%
59. Predictive Model 7%
60. Target Function 7%
61. Computational Complexity 7%
62. Data Analysis 7%
63. Control 7%
64. Approximation Ratio 7%
65. Access Information 7%
66. Optimal Solution 7%
67. Temporal Feature 7%
68. Nearest Neighbor 7%
69. Online Social Networks 7%
70. Neighbor Classifier 7%
71. User Engagement 7%
72. Synthetic Data 7%
73. Subgraphs 7%
74. Links 7%
75. Content Delivery 7%
76. Motivation 7%
77. Classes 7%
78. Abnormal Behavior 7%
79. Triadic Closure 7%
80. Accuracy 7%
81. Data Matrix 7%
82. View Information 7%
83. Good Performance 5%
84. Events 5%