•  Configuring match and merge
  •  Prerequisites for configuring match and merge
•  Match model properties
  •  Model name
  •  Model objective
  •  Default Population
    •  Supported Populations
  •  Candidate selection criteria
    •  Field name
    •  Field type
    •  Filter candidates
    •  Key generation level
    •  Candidate search level
    •  Scenarios for candidate selection criteria configuration
    •  Guidelines for configuring candidate selection criteria
  •  Maximum candidates
•  Configuring match models
  •  Creating a match model from a copy
    •  Step 1. Review the existing match model
    •  Step 2. Create a copy of a match model
    •  Step 3. Configure a match model
  •  Creating a match model from scratch
  •  Editing a match model
  •  Deleting a match model
  •  Distinct source systems
    •  Configuring a distinct source system
•  Declarative match rule properties
  •  Description
  •  Match strategy
  •  Merge strategy
  •  Merge threshold
  •  Match criteria
  •  Match level
  •  Rank
  •  Match fields
    •  Field type
    •  Additional required fields and optional fields
  •  Exact match field properties
    •  Segment matching
    •  Null matching
  •  Guidelines for configuring declarative rules
•  Configuring declarative match rules
  •  Step 1. Review the data
  •  Step 2. Add declarative match rules
    •  Step 1. Configure match properties and threshold
    •  Step 2. Add required fields
    •  Step 3. Add optional fields
    •  Step 4. Configure exact match field properties
    •  Configure declarative rules with relationship match criteria
  •  Step 3. Set the execution order for declarative match rules
  •  Edit declarative match rules
•  Training machine learning models
  •  Training metrics
    •  Error matrix
    •  Accuracy
    •  Precision
    •  Recall
  •  Recommendations for selecting training data sets
  •  Recommendations for training machine learning models
  •  Prepare to train a machine learning model
  •  Step 1. Select a training data set
  •  Step 2. Import the training data set
  •  Step 3. Identify a match model
  •  Step 4. Configure match fields
  •  Train the machine learning model
•  Publishing match models
  •  Publish a match model
•  Setting the default match model for the search match API

Configuring match and merge

Setting the default match model for the search match API

BUSINESS_ENTITY_MATCH_CONFIG

DEFAULT_POPULATION_HYLNK

MATCH_MODEL_CONFIG

ADD_MATCH_MODEL

DECLARATIVE_RULE_PROPERTIES

DECLARATIVE_RULE_MATCH_FIELDS

SEGMENT_MATCHING

NULL_MATCHING

MATCH_CONFIG_DECLARATIVE_RULES

ML_MODEL_TRAINING