Machine Learning Approach : For dimensionality reduction of microarray data

Language: English

Published by LAP LAMBERT Academic Publishing, 2020

620056843X / 9786200568434

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - For past several years, microarray technology has attracted tremendous interest for both scientific community and industry. Recently, the applications of microarrays include gene discovery, disease diagnosis and prognosis, drug discovery, etc. High dimensional data with small sample size is the main problem that generate the application of dimension reduction in microarray data analysis. It is seen that SVM, ANN and NB have recently gained wide popularity for cancer classification problems. An efficient and reliable method of dimension reduction plays an important role to improve the performance of SVM, ANN and NB, when applied for classification of high dimensional microarray data. In this book, we applied different combinations of feature selection / extraction methods, as a novel hybrid dimension reduction method for SVM, ANN and NB classifiers. The obtained results are compared with other popular published dimension reduction methods for SVM, NB and ANN classifiers.…

Seller Inventory # 9786200568434

Title
Machine Learning Approach : For dimensionality reduction of microarray data
Author
Namita Srivastava
Publisher
LAP LAMBERT Academic Publishing
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
620056843X
ISBN 13
9786200568434
Item weight
244 grams
Dimensions
220x150x10 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item7 to 10 business days5 to 7 business days
First itemUS$ 39.81US$ 51.18
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