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IBM Intelligent Miner introduction

IBM Intelligent Miner introduction. Advisor: Dr. Hsu Graduates: Yan-cheng Lin Yu-Wei Su. Outline . Main function Data settings Discretization settings Mining settings Name Mapping settings Processing settings Sequence settings Statistics settings

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IBM Intelligent Miner introduction

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  1. IBM Intelligent Miner introduction Advisor: Dr. Hsu Graduates: Yan-cheng Lin Yu-Wei Su the lab of intelligent database system, IDS

  2. Outline • Main function • Data settings • Discretization settings • Mining settings • Name Mapping settings • Processing settings • Sequence settings • Statistics settings • Taxonomy settings • Value Mapping settings the lab of intelligent database system, IDS

  3. Main function • Data settings • Discretization settings • Mining settings • Name Mapping settings • Processing settings • Sequence settings • Statistics settings • Taxonomy settings • Value Mapping settings the lab of intelligent database system, IDS

  4. Data settings • Database table/view(DB2) • Flat files the lab of intelligent database system, IDS

  5. 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 • 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

  6. Mining settings • Associations • Classification • Clustering • Prediction • Sequential pattern • Similar sequences the lab of intelligent database system, IDS

  7. 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 the lab of intelligent database system, IDS

  8. 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 the lab of intelligent database system, IDS

  9. Sequence settings • Mining function • Processing function • Sequence objects • Statistics function • Processing step • 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

  10. 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) the lab of intelligent database system, IDS

  11. Taxonomy settings • It is a hierarchy of relationships between categories • Processing step • Specifying parameters for the taxonomy • Specifying the name for the taxonomy the lab of intelligent database system, IDS

  12. Value Mapping settings • Use value mappings to substitute value in one field with the value in another field • Processing step • Selecting input data • Specifying parameters for the value mapping • Specifying the name of the value mapping the lab of intelligent database system, IDS

  13. demonstration the lab of intelligent database system, IDS

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