Knowledge Discovery using Machine Learning Algorithms

Language: English

Published by LAP LAMBERT Academic Publishing Okt 2016, 2016

3659926205 / 9783659926204

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This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 192 pp. Englisch.

Seller Inventory # 9783659926204

Title
Knowledge Discovery using Machine Learning Algorithms
Author
Sujata Dash
Publisher
LAP LAMBERT Academic Publishing Okt 2016
Publication year
2016
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659926205
ISBN 13
9783659926204
Item weight
304 grams
Dimensions
220x150x13 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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