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£58.00

LAP Lambert Academic Publishing Knowledge Discovery using Machine Learning Algorithms

Name: Knowledge Discovery using Machine Learning Algorithms
Brand: LAP Lambert Academic Publishing
Price: 58.0 GBP
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Description

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.

Product Specifications

Brand: LAP Lambert Academic Publishing
Format: paperback
ASIN: 3659926205
Category: Books > Subjects
Domain: Amazon UK
Release Date: 07 October 2016
Listed Since: 31 October 2016

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LAP Lambert Academic Publishing Knowledge Discovery using Machine Learning Algorithms

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