Data Mining Extensions - DMX - Reference

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Contents Data Mining Extensions (DMX) Reference ............................................................................................................. 6 Structure and Usage of DMX Prediction Queries ............................................................................................... 8 Understanding the Select Statement.................................................................................................................... 10 General Prediction Functions ................................................................................................................................... 13 Data Mining Extensions (DMX) Syntax Elements ............................................................................................. 17 Identifiers ..................................................................................................................................................................... 18 Data Types .................................................................................................................................................................. 20 Expressions ................................................................................................................................................................. 21 Operators .................................................................................................................................................................... 22 Arithmetic Operators .......................................................................................................................................... 23 Comparison Operators ....................................................................................................................................... 24 Logical Operators ................................................................................................................................................. 26 Unary Operators ................................................................................................................................................... 27 Functions ..................................................................................................................................................................... 27 Comments ................................................................................................................................................................... 29 Reserved Keywords.................................................................................................................................................. 30 Content Types............................................................................................................................................................ 31 Distributions ............................................................................................................................................................... 31 Usage ............................................................................................................................................................................ 32 Modeling Flags .......................................................................................................................................................... 33 Data Mining Extensions (DMX) Statement Reference .................................................................................... 35 Data Mining Extensions (DMX) Data Definition Statements.................................................................... 36 CREATE MINING STRUCTURE .......................................................................................................................... 37 ALTER MINING STRUCTURE ............................................................................................................................. 42 CREATE MINING MODEL ................................................................................................................................... 47 DROP MINING STRUCTURE.............................................................................................................................. 51 DROP MINING MODEL ...................................................................................................................................... 52 EXPORT..................................................................................................................................................................... 52 IMPORT .................................................................................................................................................................... 53 SELECT INTO........................................................................................................................................................... 54 Data Mining Extensions (DMX) Data Manipulation Statements ............................................................ 56 DELETE ...................................................................................................................................................................... 56 INSERT INTO .......................................................................................................................................................... 58 SELECT ...................................................................................................................................................................... 61 SELECT DISTINCT FROM .............................................................................................................. 63 SELECT FROM .CONTENT ............................................................................................................... 67 SELECT FROM .CASES ...................................................................................................................... 71
SELECT FROM .SAMPLE_CASES .................................................................................................... 73 SELECT FROM .DIMENSION_CONTENT .................................................................................... 74 SELECT FROM PREDICTION JOIN .............................................................................................. 76 SELECT FROM .................................................................................................................................... 80 SELECT FROM .CASES ................................................................................................................. 81 .......................................................................................................................................... 83 OPENQUERY ........................................................................................................................................................... 84 OPENROWSET ....................................................................................................................................................... 85 SHAPE ....................................................................................................................................................................... 86 UPDATE .................................................................................................................................................................... 88 Data Mining Extensions (DMX) Function Reference ....................................................................................... 88 BottomCount ............................................................................................................................................................. 92 BottomPercent .......................................................................................................................................................... 94 BottomSum ................................................................................................................................................................. 97 Cluster ......................................................................................................................................................................... 100 ClusterDistance ....................................................................................................................................................... 101 ClusterProbability ................................................................................................................................................... 104 Exists ............................................................................................................................................................................ 105 IsDescendant ............................................................................................................................................................ 106 IsInNode .................................................................................................................................................................... 107 IsTestCase .................................................................................................................................................................. 108 IsTrainingCase.......................................................................................................................................................... 109 Lag ............................................................................................................................................................................... 110 Predict ......................................................................................................................................................................... 110 PredictAdjustedProbability ................................................................................................................................. 112 PredictAssociation.................................................................................................................................................. 114 PredictCaseLikelihood .......................................................................................................................................... 115 PredictHistogram ................................................................................................................................................... 116 PredictNodeId ......................................................................................................................................................... 118 PredictProbability ................................................................................................................................................... 119 PredictSequence ..................................................................................................................................................... 121 PredictStdev ............................................................................................................................................................. 122 PredictSupport ........................................................................................................................................................ 123 PredictTimeSeries ................................................................................................................................................... 124 PredictVariance ....................................................................................................................................................... 131 RangeMax ................................................................................................................................................................. 132 RangeMid .................................................................................................................................................................. 133 RangeMin .................................................................................................................................................................. 134 StructureColumn .................................................................................................................................................... 135 TopCount ................................................................................................................................................................... 139 TopPercent ................................................................................................................................................................ 142 TopSum ...................................................................................................................................................................... 145 Data Mining Extensions (DMX) Operator Reference .................................................................................... 148 + (Add) ....................................................................................................................................................................... 151 - (Subtract) ................................................................................................................................................................ 151
Page 2 and 3: Data Mining Extensions (DMX) Refere
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 26 and 27: Operator Description argument on th
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
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object name Optional. The name of t
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parameter list Optional. A comma-se
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Arguments model A model identifier.
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If you use INSERT INTO with a minin
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) SHAPE { OPENQUERY([AdventureWorks
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• SELECT FROM PREDICTION JOIN •
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Example results: Gender F M For col
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SELECT FROM .CONTENT Returns the mi
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Examples The following code returns
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DMX Data Manipulation Statements DM
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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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