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IBM Intelligent Miner introduction Advisor: Dr. Hsu Graduates: Yan-cheng Lin Yu-Wei Su 2001/11/13 the lab of intelligent database system, IDS Outline Main function Data settings Discretization settings Mining settings Name Mapping settings Processing settings Sequence settings Statistics settings Taxonomy settings Value Mapping settings 2001/11/13 the lab of intelligent database system, IDS Main function Data settings Discretization settings Mining settings Name Mapping settings Processing settings Sequence settings Statistics settings Taxonomy settings Value Mapping settings 2001/11/13 the lab of intelligent database system, IDS Data settings Database table/view(DB2) Flat files 2001/11/13 the lab of intelligent database system, IDS Discretization settings To distribute records in the input data by splitting value range of a continuous field into intervals and the mapping each interval to a discrete value processing step 2001/11/13 Select discretization technique Select input data if require Specifying parameters for the discretization Specifying the name of discretization the lab of intelligent database system, IDS Mining settings Associations Classification Clustering Prediction Sequential pattern Similar sequences 2001/11/13 the lab of intelligent database system, IDS Name Mapping settings Use name mappings to substitute value in one field with the value in another field Processing step Selecting input data Specifying parameters for the name mapping Specifying the name of the name mapping 2001/11/13 the lab of intelligent database system, IDS Processing settings Run SQL statement Aggregate value Encode missing/nonvalid value Discard records with missing values Filter fields/records Get random sample Join data sources 2001/11/13 the lab of intelligent database system, IDS Sequence settings Mining function Processing function Sequence objects Statistics function Processing step 2001/11/13 Specifying the name of the sequence Specifying the setting contained in the sequence Specifying the parameters for this sequence the lab of intelligent database system, IDS Statistics settings bivariate statistic(二元變異統計) principle component analysis(主分量分 析) factor analysis(因子分析) univariate curve(單變異曲線) linear regression(線性迴歸) 2001/11/13 the lab of intelligent database system, IDS Taxonomy settings It is a hierarchy of relationships between categories Processing step 2001/11/13 Specifying parameters for the taxonomy Specifying the name for the taxonomy the lab of intelligent database system, IDS Value Mapping settings Use value mappings to substitute value in one field with the value in another field Processing step 2001/11/13 Selecting input data Specifying parameters for the value mapping Specifying the name of the value mapping the lab of intelligent database system, IDS demonstration 2001/11/13 the lab of intelligent database system, IDS