Data Mining Extensions - DMX - Reference

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Operator Description argument on the left is greater than the value of the argument on the right; returns FALSE otherwise. If either argument or both arguments evaluate to a null value, the operator returns a null value. = (Equal To) (DMX) For arguments that evaluate to a non-null value, returns TRUE if the value of the argument on the left is equal to the value of the argument on the right; returns FALSE otherwise. If either argument or both arguments evaluate to a null value, the operator returns a null value. (Not Equal To) (DMX) For arguments that evaluate to a non-null value, returns TRUE if the value of the argument on the left is not equal to the value of the argument on the right; returns FALSE otherwise. If either argument or both arguments evaluate to a null value, the operator returns a null value. = (Greater Than or Equal To) (DMX) For arguments that evaluate to a non-null value, returns TRUE if the value of the argument on the left is greater than or equal to the value of the argument on the right; returns FALSE otherwise. If either argument or both arguments evaluate to a null value, the operator returns a null value. You can also use comparison operators in DMX statements and functions to look for a condition. See Also Data Mining Extensions (DMX) Reference 25
DMX Function Reference DMX Operator Reference DMX Statement Reference DMX Syntax Conventions DMX Syntax Elements Expressions (DMX) Mapping Functions to Query Types (DMX) Operators (DMX) Prediction Queries (DMX) Understanding the Select Statement (DMX) Logical Operators You can use logical operators in Data Mining Extensions (DMX) expressions to evaluate values and to return a Boolean value in Microsoft SQL Server Analysis Services. The following table identifies the logical operators that DMX supports. Operator Description Understanding the Select Statement (DMX) Performs a logical conjunction on two numeric expressions. NOT (DMX) OR (DMX) Performs a logical negation on a numeric expression. Performs a logical disjunction on two numeric expressions. See Also Data Mining Extensions (DMX) Reference DMX Function Reference DMX Operator Reference DMX Statement Reference DMX Syntax Conventions DMX Syntax Elements Expressions (DMX) Mapping Functions to Query Types (DMX) Operators (DMX) Prediction Queries (DMX) 26
Page 2 and 3: Data Mining Extensions (DMX) Refere
Page 4 and 5: Contents Data Mining Extensions (DM
Page 6 and 7: * (Multiply) ......................
Page 8 and 9: • Create a mining structure by us
Page 10 and 11: The type of query you use depends o
Page 12 and 13: Each of these tasks uses a differen
Page 14 and 15: Back to Select Types Drillthrough Y
Page 16 and 17: Query type Supported functions Rema
Page 18 and 19: Query type Supported functions Rema
Page 20 and 21: An object identifier is created whe
Page 22 and 23: Data types depend on the algorithm.
Page 24 and 25: You can use operators to combine sm
Page 28 and 29: Understanding the Select Statement
Page 30 and 31: DMX Syntax Conventions DMX Syntax E
Page 32 and 33: DMX Syntax Elements Understanding t
Page 34 and 35: Columns that are left unspecified i
Page 36 and 37: Data Mining Extensions (DMX) Statem
Page 38 and 39: Statement DROP MINING MODEL (DMX) D
Page 40 and 41: • Relationship to an attribute co
Page 42 and 43: ) Example 2: Specifying Holdout Per
Page 44 and 45: parameter list Optional. A comma-se
Page 46 and 47: Filter Criteria Expressions You can
Page 48 and 49: [Model] = 'ML Road Tire' ) ) ) WITH
Page 50 and 51: For a list of the data types, conte
Page 52 and 53: [Model] TEXT DISCRETE PREDICT ) ) U
Page 54 and 55: object name Optional. The name of t
Page 56 and 57: parameter list Optional. A comma-se
Page 58 and 59: Arguments model A model identifier.
Page 60 and 61: If you use INSERT INTO with a minin
Page 62 and 63: ) SHAPE { OPENQUERY([AdventureWorks
Page 64 and 65: • SELECT FROM PREDICTION JOIN •
Page 66 and 67: Example results: Gender F M For col
Page 68 and 69: SELECT FROM .CONTENT Returns the mi
Page 70 and 71: Examples The following code returns
Page 72 and 73: DMX Data Manipulation Statements DM
Page 74 and 75: Not all mining model types support
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Remarks Algorithm providers define
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query to columns in the mining mode
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[HouseOwnerFlag], [NumberCarsOwned]
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expression list n A comma-separated
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Example 1: Drill through to Structu
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query syntax A query syntax that re
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... RELATE TO ) AS < column table
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esults of the prediction are return
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Function RangeMax RangeMid RangeMin
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Model $SUPPORT $PROBABILITY $ADJUST
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A column in the nested table, or ex
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example uses $SUPPORT because suppo
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Examples The following example uses
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'Graduate Degree' AS [Education], 0
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For more information about using th
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A Boolean type. Remarks IsDescendan
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Functions (DMX) Querying Data Minin
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Predict(, [option1], [option2], [op
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Syntax PredictAdjustedProbability(,
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See Also Mapping Functions to Query
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PredictHistogram( | ) Applies To A
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Return Type Examples The following
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Bike Buyer Bike Buyer = Yes Bike Bu
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PredictSupport Returns the support
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n-start, n-end Specifies a range of
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this query returns two columns. The
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WHERE ([Model Region] = 'M200 Europ
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Model Region Europe M200 Europe M20
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Scalar columns. Return Type A scala
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Scalar columns. Return Type A scala
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We will use the following mining st
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product name, but also returns the
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Applies To An expression that retur
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The third argument to the TopPercen
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Operator Description argument or bo
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+ (Add) Performs an arithmetic oper
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Operators (DMX) Data Mining Extensi
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Return Value A Boolean value that c
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Return Value A Boolean value that c
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NOT A logical operator that perform
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Syntax + Numeric_Expression Paramet
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-- Comment_Text Parameters Paramete
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Convention Usage syntax that can be
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Data Mining Extensions - DMX - Reference

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