Model Management Systems: Machine learning meets Database Systems (MLDB)

Computer Science

1. Approximation Algorithms 100%
2. Representation 80%
3. Bayesian Networks 80%
4. Workload 80%
5. Interpretability 80%
6. Approximation (Algorithm) 61%
7. Heuristics 60%
8. Algorithms 60%
9. Classifier 53%
10. Clustering 53%
11. Real World 51%
12. Models 44%
13. Similarity Function 40%
14. Variable Elimination 40%
15. Social Networks 40%
16. Classification 26%
17. Maximization Problem 26%
18. Predictive Performance 26%
19. Target Function 26%
20. Accuracy 26%
21. Evaluation 26%
22. Control 26%
23. Domains 20%
24. Distance Function 20%
25. Cardinality 20%
26. Design 20%
27. Multiplicative Factor 20%
28. Benchmark 20%
29. Poisson Process 20%
30. Data Collection 20%
31. Randomized Algorithm 20%
32. Combinatorial Optimization Problem 20%
33. Lower Bounds 20%
34. Query Workload 18%
35. Connectivity 13%
36. User Engagement 13%
37. Synthetic Data 13%
38. Subgraphs 13%
39. Links 13%
40. Content Delivery 13%
41. Contexts 13%
42. Constant Factor 13%
43. Motivation 13%
44. Scalability 13%
45. Triadic Closure 13%
46. Approximation Ratio 13%
47. Access Information 13%
48. Online Social Networks 13%
49. Networks 13%
50. View Information 13%
51. Case Study 13%
52. Search Space 13%
53. Experimental Result 10%
54. Polynomial Time Algorithm 10%
55. Probabilistic Inference 10%
56. Inference Method 8%
57. Polynomial Algorithm 8%
58. Tree Algorithm 8%
59. Query Processing 8%