Knowledge Discovery using Machine Learning Algorithms
Language: English
Published by LAP LAMBERT Academic Publishing, 2016
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
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£ 57.49
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…
Seller Inventory # 9783659926204
- Title
- Knowledge Discovery using Machine Learning Algorithms
- Author
- Sujata Dash
- Publisher
- LAP LAMBERT Academic Publishing
- Publication year
- 2016
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3659926205
- ISBN 13
- 9783659926204
- Item weight
- 304 grams
- Dimensions
- 220x150x12 mm
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About the Author
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|---|---|---|
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