v target mail.dmm
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」· DMM 代码 · 共 428 行 · 第 1/2 页
DMM
428 行
<DataType>UnsignedTinyInt</DataType>
<DataSize>-1</DataSize>
<Source xsi:type="ColumnBinding" dwd:design-time-name="4a9f6f82-af13-4d1d-b36c-70973c5b450d">
<TableID>dbo_vTargetMail</TableID>
<ColumnID>TotalChildren</ColumnID>
</Source>
</KeyColumn>
</KeyColumns>
</Column>
<Column xsi:type="ScalarMiningStructureColumn" dwd:design-time-name="a2e3e11e-6567-4f16-89b8-42240d22f9ae">
<ID>Yearly Income</ID>
<Name>Yearly Income</Name>
<Type>Double</Type>
<Content>Continuous</Content>
<KeyColumns>
<KeyColumn dwd:design-time-name="9be25c46-1be2-4345-9416-3c4e989e9462">
<DataType>Double</DataType>
<DataSize>-1</DataSize>
<Source xsi:type="ColumnBinding" dwd:design-time-name="3b4f22b1-ccd9-40ae-b440-ec28bea01920">
<TableID>dbo_vTargetMail</TableID>
<ColumnID>YearlyIncome</ColumnID>
</Source>
</KeyColumn>
</KeyColumns>
</Column>
</Columns>
<MiningModels>
<MiningModel dwd:design-time-name="61864a34-e386-4fcb-93e2-afe9ceb9baae">
<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 dwd:design-time-name="abb40ed6-ca61-482d-9b80-ed3ae73dc967">
<ID>Age</ID>
<Name>Age</Name>
<SourceColumnID>Age</SourceColumnID>
<ModelingFlags>
<ModelingFlag>REGRESSOR</ModelingFlag>
</ModelingFlags>
</Column>
<Column dwd:design-time-name="83f7e813-de12-4da3-94d0-81400241cd39">
<ID>Bike Buyer</ID>
<Name>Bike Buyer</Name>
<SourceColumnID>Bike Buyer</SourceColumnID>
<Usage>PredictOnly</Usage>
</Column>
<Column dwd:design-time-name="eb971814-57c5-44d8-98f4-eea543503585">
<ID>Customer Key</ID>
<Name>Customer Key</Name>
<SourceColumnID>Customer Key</SourceColumnID>
<Usage>Key</Usage>
</Column>
<Column dwd:design-time-name="2cb34201-e406-4016-93c9-007d5a0ef74a">
<ID>English Education</ID>
<Name>English Education</Name>
<SourceColumnID>English Education</SourceColumnID>
</Column>
<Column dwd:design-time-name="dd91ac14-5a1d-454e-afcd-34a8c914ba08">
<ID>Gender</ID>
<Name>Gender</Name>
<SourceColumnID>Gender</SourceColumnID>
</Column>
<Column dwd:design-time-name="17656efe-06dd-4da1-9c62-117c96e16318">
<ID>Marital Status</ID>
<Name>Marital Status</Name>
<SourceColumnID>Marital Status</SourceColumnID>
</Column>
<Column dwd:design-time-name="f8b636e2-d08e-41eb-87e9-a2be1cc0a60b">
<ID>Number Cars Owned</ID>
<Name>Number Cars Owned</Name>
<SourceColumnID>Number Cars Owned</SourceColumnID>
</Column>
<Column dwd:design-time-name="6150e65f-5047-43b3-acfc-96f4d07a6c31">
<ID>Number Children At Home</ID>
<Name>Number Children At Home</Name>
<SourceColumnID>Number Children At Home</SourceColumnID>
</Column>
<Column dwd:design-time-name="c132e575-5038-4114-923d-5bf1526c4c71">
<ID>Total Children</ID>
<Name>Total Children</Name>
<SourceColumnID>Total Children</SourceColumnID>
</Column>
<Column dwd:design-time-name="dbdb5ba2-c075-4eae-9420-1a1749c13160">
<ID>Yearly Income</ID>
<Name>Yearly Income</Name>
<SourceColumnID>Yearly Income</SourceColumnID>
<ModelingFlags>
<ModelingFlag>REGRESSOR</ModelingFlag>
</ModelingFlags>
</Column>
</Columns>
</MiningModel>
<MiningModel dwd:design-time-name="3f9d0d10-e082-4f8b-82ac-730eb4e23ab3">
<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 dwd:design-time-name="f072a698-abcc-4b8f-8ae5-429a2b97b40e">
<ID>Age</ID>
<Name>Age</Name>
<SourceColumnID>Age</SourceColumnID>
</Column>
<Column dwd:design-time-name="55fec53d-7c14-4cd2-910e-52c6fb3cc0cd">
<ID>Bike Buyer</ID>
<Name>Bike Buyer</Name>
<SourceColumnID>Bike Buyer</SourceColumnID>
<Usage>PredictOnly</Usage>
</Column>
<Column dwd:design-time-name="b8914bda-04a7-475d-a25d-d00b55016bd8">
<ID>Customer Key</ID>
<Name>Customer Key</Name>
<SourceColumnID>Customer Key</SourceColumnID>
<Usage>Key</Usage>
</Column>
<Column dwd:design-time-name="992c1d27-2417-4dbd-9bc8-0c199703401c">
<ID>English Education</ID>
<Name>English Education</Name>
<SourceColumnID>English Education</SourceColumnID>
</Column>
<Column dwd:design-time-name="55c37c24-276b-4ef7-aa9e-dd8f23d62ce5">
<ID>Gender</ID>
<Name>Gender</Name>
<SourceColumnID>Gender</SourceColumnID>
</Column>
<Column dwd:design-time-name="b0a001bb-ed19-429d-ab0e-b257ec887b9d">
<ID>Marital Status</ID>
<Name>Marital Status</Name>
<SourceColumnID>Marital Status</SourceColumnID>
</Column>
<Column dwd:design-time-name="ef5f1186-a58e-4746-b035-6009a30a8844">
<ID>Number Cars Owned</ID>
<Name>Number Cars Owned</Name>
<SourceColumnID>Number Cars Owned</SourceColumnID>
</Column>
<Column dwd:design-time-name="1ba78568-ca5d-4877-9af8-670ace757460">
<ID>Number Children At Home</ID>
<Name>Number Children At Home</Name>
<SourceColumnID>Number Children At Home</SourceColumnID>
</Column>
<Column dwd:design-time-name="96f579bc-08cf-4463-bbf3-addf023b1a8f">
<ID>Total Children</ID>
<Name>Total Children</Name>
<SourceColumnID>Total Children</SourceColumnID>
</Column>
<Column dwd:design-time-name="eba64371-4e83-4c03-a8f7-63cc222c5967">
<ID>Yearly Income</ID>
<Name>Yearly Income</Name>
<SourceColumnID>Yearly Income</SourceColumnID>
</Column>
</Columns>
</MiningModel>
<MiningModel dwd:design-time-name="486cbec7-d09f-4bd1-83a9-f09b57df1b5c">
<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 dwd:design-time-name="a94dd20d-70a6-468c-b255-e6e2488022c4">
<ID>Bike Buyer</ID>
<Name>Bike Buyer</Name>
<SourceColumnID>Bike Buyer</SourceColumnID>
<Usage>PredictOnly</Usage>
</Column>
<Column dwd:design-time-name="9248f5aa-8ccc-4cad-8763-9f7a75ba0ef5">
<ID>Customer Key</ID>
<Name>Customer Key</Name>
<SourceColumnID>Customer Key</SourceColumnID>
<Usage>Key</Usage>
</Column>
<Column dwd:design-time-name="75094f5d-5c97-4783-b003-839e57ed40eb">
<ID>English Education</ID>
<Name>English Education</Name>
<SourceColumnID>English Education</SourceColumnID>
</Column>
<Column dwd:design-time-name="88488cea-4d1e-4204-ac37-38ceeb886c5e">
<ID>Gender</ID>
<Name>Gender</Name>
<SourceColumnID>Gender</SourceColumnID>
</Column>
<Column dwd:design-time-name="b15d4991-1c8b-4e35-850f-67a9780bd0dd">
<ID>Marital Status</ID>
<Name>Marital Status</Name>
<SourceColumnID>Marital Status</SourceColumnID>
</Column>
<Column dwd:design-time-name="922b3578-fc61-4d8e-803b-b2f0350f79f5">
<ID>Number Cars Owned</ID>
<Name>Number Cars Owned</Name>
<SourceColumnID>Number Cars Owned</SourceColumnID>
</Column>
<Column dwd:design-time-name="eb103bb0-9f90-48f6-83a7-4d4345889ba8">
<ID>Number Children At Home</ID>
<Name>Number Children At Home</Name>
<SourceColumnID>Number Children At Home</SourceColumnID>
</Column>
<Column dwd:design-time-name="4e49ce13-ba29-4069-ac73-7902f50ec213">
<ID>Total Children</ID>
<Name>Total Children</Name>
<SourceColumnID>Total Children</SourceColumnID>
</Column>
</Columns>
</MiningModel>
</MiningModels>
</MiningStructure>
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