awbi.asdatabase
来自「SQL SERVER 2005数据挖掘与商务智能完全解决方案随书光盘,作者:朱德」· ASDATABASE 代码 · 共 1,125 行 · 第 1/5 页
ASDATABASE
1,125 行
<KeyColumns>
<KeyColumn>
<DataType>UnsignedTinyInt</DataType>
<DataSize>-1</DataSize>
<Source xsi:type="ColumnBinding">
<TableID>dbo_vTargetMail</TableID>
<ColumnID>TotalChildren</ColumnID>
</Source>
</KeyColumn>
</KeyColumns>
</Column>
<Column xsi:type="ScalarMiningStructureColumn">
<ID>Yearly Income</ID>
<Name>Yearly Income</Name>
<Type>Double</Type>
<Content>Continuous</Content>
<KeyColumns>
<KeyColumn>
<DataType>Double</DataType>
<DataSize>-1</DataSize>
<Source xsi:type="ColumnBinding">
<TableID>dbo_vTargetMail</TableID>
<ColumnID>YearlyIncome</ColumnID>
</Source>
</KeyColumn>
</KeyColumns>
</Column>
</Columns>
<MiningModels>
<MiningModel>
<ID>v Target Mail</ID>
<Name>v Target Mail</Name>
<CreatedTimestamp>0001-01-01T00:00:00Z</CreatedTimestamp>
<LastSchemaUpdate>0001-01-01T00:00:00Z</LastSchemaUpdate>
<LastProcessed>0001-01-01T00:00:00Z</LastProcessed>
<State>Unprocessed</State>
<Algorithm>Microsoft_Decision_Trees</Algorithm>
<Columns>
<Column>
<ID>Age</ID>
<Name>Age</Name>
<SourceColumnID>Age</SourceColumnID>
<ModelingFlags>
<ModelingFlag>REGRESSOR</ModelingFlag>
</ModelingFlags>
</Column>
<Column>
<ID>Bike Buyer</ID>
<Name>Bike Buyer</Name>
<SourceColumnID>Bike Buyer</SourceColumnID>
<Usage>PredictOnly</Usage>
</Column>
<Column>
<ID>Customer Key</ID>
<Name>Customer Key</Name>
<SourceColumnID>Customer Key</SourceColumnID>
<Usage>Key</Usage>
</Column>
<Column>
<ID>English Education</ID>
<Name>English Education</Name>
<SourceColumnID>English Education</SourceColumnID>
</Column>
<Column>
<ID>Gender</ID>
<Name>Gender</Name>
<SourceColumnID>Gender</SourceColumnID>
</Column>
<Column>
<ID>Marital Status</ID>
<Name>Marital Status</Name>
<SourceColumnID>Marital Status</SourceColumnID>
</Column>
<Column>
<ID>Number Cars Owned</ID>
<Name>Number Cars Owned</Name>
<SourceColumnID>Number Cars Owned</SourceColumnID>
</Column>
<Column>
<ID>Number Children At Home</ID>
<Name>Number Children At Home</Name>
<SourceColumnID>Number Children At Home</SourceColumnID>
</Column>
<Column>
<ID>Total Children</ID>
<Name>Total Children</Name>
<SourceColumnID>Total Children</SourceColumnID>
</Column>
<Column>
<ID>Yearly Income</ID>
<Name>Yearly Income</Name>
<SourceColumnID>Yearly Income</SourceColumnID>
<ModelingFlags>
<ModelingFlag>REGRESSOR</ModelingFlag>
</ModelingFlags>
</Column>
</Columns>
</MiningModel>
<MiningModel>
<ID>Clustering</ID>
<Name>Clustering</Name>
<CreatedTimestamp>0001-01-01T00:00:00Z</CreatedTimestamp>
<LastSchemaUpdate>0001-01-01T00:00:00Z</LastSchemaUpdate>
<LastProcessed>0001-01-01T00:00:00Z</LastProcessed>
<State>Unprocessed</State>
<Algorithm>Microsoft_Clustering</Algorithm>
<Columns>
<Column>
<ID>Age</ID>
<Name>Age</Name>
<SourceColumnID>Age</SourceColumnID>
</Column>
<Column>
<ID>Bike Buyer</ID>
<Name>Bike Buyer</Name>
<SourceColumnID>Bike Buyer</SourceColumnID>
<Usage>PredictOnly</Usage>
</Column>
<Column>
<ID>Customer Key</ID>
<Name>Customer Key</Name>
<SourceColumnID>Customer Key</SourceColumnID>
<Usage>Key</Usage>
</Column>
<Column>
<ID>English Education</ID>
<Name>English Education</Name>
<SourceColumnID>English Education</SourceColumnID>
</Column>
<Column>
<ID>Gender</ID>
<Name>Gender</Name>
<SourceColumnID>Gender</SourceColumnID>
</Column>
<Column>
<ID>Marital Status</ID>
<Name>Marital Status</Name>
<SourceColumnID>Marital Status</SourceColumnID>
</Column>
<Column>
<ID>Number Cars Owned</ID>
<Name>Number Cars Owned</Name>
<SourceColumnID>Number Cars Owned</SourceColumnID>
</Column>
<Column>
<ID>Number Children At Home</ID>
<Name>Number Children At Home</Name>
<SourceColumnID>Number Children At Home</SourceColumnID>
</Column>
<Column>
<ID>Total Children</ID>
<Name>Total Children</Name>
<SourceColumnID>Total Children</SourceColumnID>
</Column>
<Column>
<ID>Yearly Income</ID>
<Name>Yearly Income</Name>
<SourceColumnID>Yearly Income</SourceColumnID>
</Column>
</Columns>
</MiningModel>
<MiningModel>
<ID>Bayes</ID>
<Name>Bayes</Name>
<CreatedTimestamp>0001-01-01T00:00:00Z</CreatedTimestamp>
<LastSchemaUpdate>0001-01-01T00:00:00Z</LastSchemaUpdate>
<LastProcessed>0001-01-01T00:00:00Z</LastProcessed>
<State>Unprocessed</State>
<Algorithm>Microsoft_Naive_Bayes</Algorithm>
<Columns>
<Column>
<ID>Bike Buyer</ID>
<Name>Bike Buyer</Name>
<SourceColumnID>Bike Buyer</SourceColumnID>
<Usage>PredictOnly</Usage>
</Column>
<Column>
<ID>Customer Key</ID>
<Name>Customer Key</Name>
<SourceColumnID>Customer Key</SourceColumnID>
<Usage>Key</Usage>
</Column>
<Column>
<ID>English Education</ID>
<Name>English Education</Name>
<SourceColumnID>English Education</SourceColumnID>
</Column>
<Column>
<ID>Gender</ID>
<Name>Gender</Name>
<SourceColumnID>Gender</SourceColumnID>
</Column>
<Column>
<ID>Marital Status</ID>
<Name>Marital Status</Name>
<SourceColumnID>Marital Status</SourceColumnID>
</Column>
<Column>
<ID>Number Cars Owned</ID>
<Name>Number Cars Owned</Name>
<SourceColumnID>Number Cars Owned</SourceColumnID>
</Column>
<Column>
<ID>Number Children At Home</ID>
<Name>Number Children At Home</Name>
<SourceColumnID>Number Children At Home</SourceColumnID>
</Column>
<Column>
<ID>Total Children</ID>
<Name>Total Children</Name>
<SourceColumnID>Total Children</SourceColumnID>
</Column>
</Columns>
</MiningModel>
</MiningModels>
</MiningStructure>
<MiningStructure>
<ID>v Assoc Seq Orders</ID>
<Name>v Assoc Seq Orders</Name>
<CreatedTimestamp>0001-01-01T00:00:00Z</CreatedTimestamp>
<LastSchemaUpdate>0001-01-01T00:00:00Z</LastSchemaUpdate>
<Annotations>
<Annotation>
<Name>http://schemas.microsoft.com/DataWarehouse/Designer/1.0:CaseTableName</Name>
<Value>dbo_vAssocSeqOrders</Value>
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