Eustat

Mintegia

FUSIÓN DE REGISTROS / ERREGISTROEN BATERATZEA / RECORD LINKAGE

AURKIBIDEA

• SUMMARY

1. Introduction
2. Definition
3. Terminology
4. Uses
5. Capture-Recapture
6. Record Linkage Basics
7. Context
8. Deterministic Record Linkage
9. Probabilistic Record Linkage
10. Not Statistical Matching
11. Need for Automated Record Linkage
12. Rec. Link. Theory: Fellegi & Sunter
13. Basic Definitions and Notation
14. Agreement Patterns
15. Example Comparison Space
16. Conditional Probabilities
17. Linkage Rule
18. Error Rates
19. Clerical Region
20. Fundamental Theorem
21. Weight Distribution for Matches
22. Weight Distribution for Non-Matches
23. Idealized Distributions
24. Error Rates, Clerical Review Region
25. Conditional Independence Assumption
26. Conditional Independence Example
27. Fellegi-Sunter Summary
28. Record Linkage Methodology
29. Choosing Parameters
30. Informal Methods
31. EM Algorithm
32. Likelihood Function
33. Complete-data Likelihood Function
34. Expectation Step
35. Maximization Step
36. EM Algorithm
37. EM Algorithm Remarks
38. Blocking
39. Blocking Criteria
40. Record Linkage Refinements
41. String Comparator
42. String Comparator Context
43. Some String Comparator Types
44. Bigrams
45. Jaro-Winkler Comparator
46. Jaro-Winkler Example
47. Jaro-Winkler Variations
48. Similar Characters
49. Common Prefix
50. Long String Adjustment
51. Jaro-Winkler Comparator
52. Edit Distance String Comparators
53. Edit Distance Algorithm
54. Edit Distance Similarity Function
55. Edit Distance Example
56. Longest Common Subsequence
57. LCS Similarity Function
58. Combination Similarity Function
59. Evaluating String Comparators
60. Results of String Comparator Evaluation
61. Jaro-Winkler Anomaly
62. Hybrid Comparator
63. String Comparator Summary
64. More Than Two Latent Classes
65. EM for Three Classes
66. More Than Two Comparison Values
67. One-to-one Matching
68. Linear Assignment Algorithm
69. Error Rates
70. Practical Considerations
71. False Non-Match Rate
72. False Match Rate
73. Bellin-Rubin
74. Larsen
75. Improved Parameter Estimates
76. Extended Likelihood Function
77. Larsen, Rubin
78. Winkler
79. Data Preparation
80. Basic Preparation
81. Address Parsing
82. Business Lists
83. Example of Business Name Parsing
84. Two Kinds of Standardizer
85. Rule-Based Standardizer
86. Hidden Markov Standardizer
87. Hidden Markov Standardizer Reference
88. Hidden Markov Model
89. Viterbi Algorithm
90. HMM Diagram
91. Standardization Summary
92. U.S. Census Bureau Software
93. Matching Programs: Matcher
94. Matching Programs: Bigmatch
95. Auxiliary Programs: Counter
96. Auxiliary Programs: EM
97. Auxiliary Programs, Standardizer