PredictAssociation (DMX)

 

Updated: September 14, 2016

Predicts associative membership.

For example, you can use the PredictAssociation function to obtain the set of recommendations given the current state of the shopping basket for a customer.

  
PredictAssociation(<table column reference>, option1, option2, n ...)  

Algorithms that contain predictable nested tables, including association and some classification algorithms. Classification algorithms that support nested tables include the Microsoft Decision Trees, Microsoft Naive Bayes, and Microsoft Neural Network algorithms.

<table expression>

The options for the PredictAssociation function include EXCLUDE_NULL, INCLUDE_NULL, INCLUSIVE, EXCLUSIVE (default), INPUT_ONLY, INCLUDE_STATISTICS, and INCLUDE_NODE_ID.

System_CAPS_ICON_note.jpg Note


INCLUSIVE, EXCLUSIVE, INPUT_ONLY, and INCLUDE_STATISTICS apply only for a table column reference, and EXCLUDE_NULL and INCLUDE_NULL apply only for a scalar column reference.

INCLUDE_STATISTICS only returns $Probability and $AdjustedProbability.

If the numeric parameter n is specified, the PredictAssociation function returns the top n most likely values based on the probability:

PredictAssociation(colref, [$AdjustedProbability], n)  

If you include $AdjustedProbability, the statement returns the top n values based on the $AdjustedProbability.

The following example uses the PredictAssociation function to return the four products in the Adventure Works database that are most likely to be sold together.

SELECT  
  PredictAssociation([Association].[v Assoc Seq Line Items],4)  
From  
  [Association]  

The following example demonstrates how you can use a nested table as input to the prediction function, useing the SHAPE clause. The SHAPE query creates a rowset with customerId as one column and a nested table as a second column, which contains the list of products a customer has already brought.

SELECT T.[CustomerId], PredictAssociation(MyNestedTable, 5) // returns top 5 associated items
FROM My Model
PREDICTION JOIN
SHAPE {
    OPENQUERY([Adventure Works DW],'SELECT CustomerID, OrderNumber
    FROM vAssocSeqOrders ORDER BY OrderNumber')
} APPEND (
    {OPENQUERY([Adventure Works DW],'SELECT OrderNumber, model FROM 
    dbo.vAssocSeqLineItems ORDER BY OrderNumber, Model')}
  RELATE OrderNumber to OrderNumber) AS T

Data Mining Extensions (DMX) Function Reference
Functions (DMX)
General Prediction Functions (DMX)

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