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Oracle Java CAPS Master Index Match Engine Reference Java CAPS Documentation |
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Oracle Java CAPS Master Index Match Engine Reference Java CAPS Documentation |
Master Index Match Engine Reference
About the Master Index Match Engine
Master Index Match Engine Overview
Deterministic and Probabilistic Data Matching
Probabilities and Direct Weights
Matching and Unmatching Probabilities
Agreement and Disagreement Weight Ranges
How the Master Index Match Engine Works
Master Index Match Engine Structure
Master Index Match Engine Configuration Files
Master Index Match Engine Matching Weight Formulation
Master Index Match Engine Data Types
The Master Index Match Engine and the Master Index Standardization Engine
Oracle Java CAPS Master Index Standardization and Matching Process
Master Index Match Engine Matching Configuration
The Master Index Match Engine Match Configuration File
Master Index Match Engine Match Configuration File Format
Match Configuration File Sample
Master Index Match Engine Matching Comparison Functions At a Glance
Master Index Match Engine Comparator Definition List
Master Index Match Engine Comparison Functions
Advanced Bigram Comparator (b2)
Uncertainty String Comparators
Advanced Jaro String Comparator (u)
Winkler-Jaro String Comparator (ua)
Condensed String Comparator (us)
Advanced Jaro Adjusted for First Names (uf)
Advanced Jaro Adjusted for Last Names (ul)
Advanced Jaro Adjusted for House Numbers (un)
Advanced Jaro AlphaNumeric Comparator (ujs)
Unicode String Comparator (usu)
Unicode AlphaNumeric Comparator (usus)
Exact Character-to-Character Comparator (c)
Condensed AlphaNumeric SSN Comparator (nS)
Date Comparator With Years as Units (dY)
Date Comparator With Months as Units (dM)
Date Comparator With Days as Units (dD)
Date Comparator With Hours as Units (dH)
Date Comparator With Minutes as Units (dm)
Date Comparator With Seconds as Units (ds)
Creating Custom Comparators for the Master Index Match Engine
Step 1: Create the Custom Comparator Java Class
Step 2: Register the Comparator in the Comparators List
Step 3: Define Parameter Validations (Optional)
To Define Parameter Validations
Step 4: Define Data Source Handling (Optional)
To Define Data Source Handling
Step 5: Define Curve Adjustment or Linear Fitting (Optional)
To Define Curve Adjustment or Linear Fitting
Step 6: Compile and Package the Comparator
Step 7: Import the Comparator Package Into Oracle Java CAPS Master Index
To Import a Comparison Function
Step 8: Configure the Comparator in the Match Configuration File
Master Index Match Engine Configuration for Common Data Types
Master Index Match Engine Match String Fields
Person Data Match String Fields
Address Data Match String Fields
Business Name Match String Fields
Master Index Match Engine Match Types
Configuring the Match String for a Master Index Application
Configuring the Match String for Person Data
Configuring the Match String for Address Data
Configuring the Match String for Business Names
Fine-Tuning Weights and Thresholds for Oracle Java CAPS Master Index
Customizing the Match Configuration and Thresholds
Customizing the Match Configuration
Probabilities or Agreement Weights
Weight Ranges Using Agreement Weights
Weight Ranges Using Probabilities
Determining the Weight Thresholds
The The Prorated Comparator uses a relative distance calculation and allows you to specify how quickly the agreement weight between two fields decreases. Matching weights are assigned with a linear adjustment according to the parameters you specify. You specify an initial agreement range. If the difference between two fields falls within that range, the fields are considered a complete match. You also specify a disagreement range ending with the relative distance. If the difference between two fields falls within that range, the fields are considered a non-match. When the difference between the fields falls between those two ranges, they are considered to be partial matches and the agreement weight is adjusted linearly. Any difference greater than the relative distance is always considered a non-match.
Figure 3 illustrates how weighting is adjusted per the parameters you define. In these diagrams, the green line indicates full agreement, the light blue line indicates prorated agreement, and the red line indicates full disagreement. The diagrams illustrate how increasing the disagreement weight causes the prorated agreement weight to decrease more sharply.
Figure 3 Prorated Linear Adjustment Comparison
The prorated comparison functions takes the parameters listed in Table 11.
Table 11 Prorated Comparison Function Parameters
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