Partitioning algorithms and combined model integration for data mining (Q1861614)
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scientific article; zbMATH DE number 1878616
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Partitioning algorithms and combined model integration for data mining |
scientific article; zbMATH DE number 1878616 |
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Partitioning algorithms and combined model integration for data mining (English)
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9 March 2003
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A strategy of huge data sets analysis (data mining, DM) is proposed which consists of three stages: partitioning stage, explanatory stage and decision stage. The explanatory trees technique of clustering is described for the partitioning (EAST splitting algorithm is recommended for DM). Generalized additive multi-mixture models are proposed for the explanatory stage. The final decision rule combines clustering and explanation. Application to the data on 48 842 individuals from US Census is considered.
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partitioning
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cluster analysis
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exploratory tree
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generalized additive multi-mixture model
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