Knowledge Discovery using Machine Learning Algorithms

Name: Knowledge Discovery using Machine Learning Algorithms
Brand: LAP Lambert Academic Publishing
SKU: 9783659926204
Price: 312.48 RON
Availability: InStock

Autor: Sujata Dash, Bichitrananda Patra

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Editura: LAP Lambert Academic Publishing

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The goal of this book is to provide a more effective way to extract features with highly important i...

Informații despre carte

Autor

Sujata Dash, Bichitrananda Patra

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2016

Pagini

192

EAN

9783659926204

Enbook ID

15359210

Editura

LAP Lambert Academic Publishing

Greutate

304

Dimensiuni

150 x 220 x 12

Descriere completă

The goal of this book is to provide a more effective way to extract features with highly important information to a specific disease, i.e. informative features, using correlation based rough set feature extraction method (RSs), rough set, genetic algorithms (GAs) and its variants, fuzzy-rough set, nearest neighbor, decision tree algorithms and partial least square method and some adaptive neural networks due to their learning abilities to construct hypotheses that can explain complex relationships in the data. This research explores the effectiveness of integrated and hybrid feature extraction methods proposed in the following chapters, in analyzing gene expression activities, based on a specific tumor disease and identifying the informative genes that underlie different precision levels in the extraction process. The identified gene subset may give an enhanced insight on the gene-gene interaction in response to different stages of abnormal cell growth which could be vital in designing treatment strategies to prevent any progression of abnormal cells.

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Knowledge Discovery using Machine Learning Algorithms

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