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Knowledge Discovery using Machine Learning Algorithms

Language EnglishEnglish
Book Paperback
Book Knowledge Discovery using Machine Learning Algorithms Sujata Dash
Libristo code: 15359210
Publishers LAP Lambert Academic Publishing, November 2015
The goal of this book is to provide a more effective way to extract features with highly important i... Full description
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22 439 Ft
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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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About the book

Full name Knowledge Discovery using Machine Learning Algorithms
Author Sujata Dash, Bichitrananda Patra
Language English
Binding Book - Paperback
Date of issue 2016
Number of pages 192
EAN 9783659926204
Libristo code 15359210
Publishers LAP Lambert Academic Publishing
Weight 304
Dimensions 150 x 220 x 12

Categories

Computing & Information Technology > Computer programming / software engineering > Programming & scripting languages: general
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