Intelligent Data Engineering and Automated Learning

Name: Intelligent Data Engineering and Automated Learning
Brand: Scholars' Press
SKU: 9783639762211
Price: 30109 HUF
Availability: InStock

Machine Learning from Imbalanced Data Sets

Szerző: Rashid Syed Zahidur

Nyelv:

Kötés: Puha kötésű

Kiadó: Scholars' Press

Elérhetőség: Beszállítói készleten

Küldés 5-8 napon belül

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This book investigates the nature of imbalanced data sets and looks at two external methods, which c...

Információk a könyvről

Szerző

Rashid Syed Zahidur

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2015

oldal

220

EAN

9783639762211

ISBN

3639762215

Enbook ID

09216858

Kiadó

Scholars' Press

Súly

327

Méretek

152 x 229 x 13

Teljes leírás

This book investigates the nature of imbalanced data sets and looks at two external methods, which can increase a learner s performance on under represented classes. Both techniques artificially balance the training data; one by randomly re-sampling examples of the under represented class and adding them to the training set, the other by randomly removing examples of the over represented class from the training set. A combination scheme is then presented. The approach is one in which multiple classifiers are arranged in a hierarchical structure according to their sampling techniques. The architecture consists of two experts, one that boosts performance by combining classifiers that re-sample training data at different rates, the other by combining classifiers that remove data from the training data at different rates. Using the F-measure, which combines precision and recall as a performance statistic, the combination scheme is shown to be effective at learning from severely imbalanced data sets. In fact, when compared to a state of the art combination technique, Adaptive-Boosting, the proposed system is shown to be superior for learning on imbalanced data sets.

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Intelligent Data Engineering and Automated Learning

Machine Learning from Imbalanced Data Sets

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