Computer Science

1. Feature Extraction 100%
2. Class Classification 83%
3. Accelerometer Data 66%
4. Neural Network 66%
5. Evolutionary Algorithm 61%
6. Dissimilarity Measure 50%
7. Classification Performance 50%
8. Classification Problem 50%
9. Machine Learning 50%
10. Learning System 50%
11. Arbitrary Number 33%
12. Long Time Series 33%
13. Nearest Neighbors Classifier 33%
14. Strongest Association 33%
15. Incidence Rate 33%
16. Representation Learning 33%
17. Classification Framework 33%
18. Varying Degree 33%
19. Governmental Agency 33%
20. Particle Swarm Optimization 33%
21. Census Data 33%
22. Monitoring Data 33%
23. Feature Selection 33%
24. Artificial Intelligence 33%
25. Hybrid Approach 27%
26. Utmost Importance 16%
27. Euclidean Distance 16%
28. Extracted Feature 16%
29. Visual Exploration 16%
30. Cartesian Product 16%
31. Dimensionality Reduction 16%
32. Manufacturing Data 16%
33. Spatial Pattern 16%
34. Spatial Structure 16%
35. Analytic Approach 16%
36. Simple Algorithm 16%
37. Storage Requirement 16%
38. Learned Feature 16%
39. Learning Framework 16%
40. Industrial Internet of Things 16%
41. Data Integrity 16%
42. Modelers 16%
43. Experimental Result 16%
44. Logistic Regression 16%
45. Insurance Policy 16%
46. Artificial Neural Network 16%
47. Human Intervention 16%
48. Data Management 16%
49. Optimization Technique 16%
50. Population Level 16%