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Transcript
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
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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
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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
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Database table/view(DB2)
Flat files
2001/11/13
the lab of intelligent database
system, IDS
Discretization settings
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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
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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
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Associations
Classification
Clustering
Prediction
Sequential pattern
Similar sequences
2001/11/13
the lab of intelligent database
system, IDS
Name Mapping settings
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Use name mappings to substitute value in
one field with the value in another field
Processing step
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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
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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
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Mining function
Processing function
Sequence objects
Statistics function
Processing step
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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
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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
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It is a hierarchy of relationships
between categories
Processing step
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2001/11/13
Specifying parameters for the taxonomy
Specifying the name for the taxonomy
the lab of intelligent database
system, IDS
Value Mapping settings
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Use value mappings to substitute value
in one field with the value in another
field
Processing step
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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