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: 50.88 EUR
Availability: InStock

Автор: Abdelaziz Berrado

Език:

Корици: С меки корици

Издател: VDM Verlag

Наличност: Налично при издателя, по поръчка

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

Информация за книгата

Автор

Abdelaziz Berrado

Език

Английски език

Корици

Книга - С меки корици

Издадена

2011

страници

104

EAN

9783639378252

ISBN

3639378253

Enbook ID

06844357

Издател

VDM Verlag

Теглоt

163

Размери

152 x 229 x 6

Пълно описание

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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