Supervised Rule Discovery For Rare Events in Mixed Process Data

Name: Supervised Rule Discovery For Rare Events in Mixed Process Data
Brand: VDM Verlag
SKU: 9783639378252
Price: 1174 CZK
Availability: InStock

Autor: Abdelaziz Berrado

Jazyk:

Vazba: Brožovaná

Vydavatel: VDM Verlag

Dostupnost: U nakladatele na objednávku

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Existing classification procedures fail to uncover the predictive structure of classification proble...

Informace o knize

Autor

Abdelaziz Berrado

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2011

Stránek

104

EAN

9783639378252

ISBN

3639378253

Enbook ID

06844357

Vydavatel

VDM Verlag

Hmotnost

163

Rozměry

152 x 229 x 6

Kompletní popis

Existing classification procedures fail to uncover the predictive structure of classification problems, which is key to taking actions. This work suggests a new approach for finding highly actionable rules, using existing association rules mining algorithms, to explain the occurrence of events in mixed high-dimensional manufacturing data. Solutions to several limitations to association rules mining from process data are addressed and a new methodology for organizing and grouping the association rules with the same consequent is provided. Supervised association rules mining from a heterogeneous data space requires discretizing the continuous attributes. This step should be carried out with a minimum information loss. A discretization algorithm called Random Forests Discretizer is introduced in this work, it derives its ability in conserving the data properties from the Random Forests learning algorithm. Finally, supervised association rules along with their corresponding metarules are used for clustering in a categorical feature space. This work introduces an algorithm called Supervised Clustering with Association Rules, for clustering massive high dimensional categorical data.

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Supervised Rule Discovery For Rare Events in Mixed Process Data

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