Classification Methods for Internet Applications
Language: English
Published by Springer International Publishing, 2021
- Softcover
- New
Seller: moluna, Greven, Germanymoluna
AbeBooks seller since July 9, 2020
Condition: New
£ 71.72
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Add to basketItem description from seller
Seller Inventory # 448680518
- Title
- Classification Methods for Internet Applications
- Author
- Martin Holena|Petr Pulc|Martin Kopp
- Publisher
- Springer International Publishing
- Publication year
- 2021
- Condition
- New
- Binding
- Kartoniert / Broschiert
- Language
- English
- ISBN 10
- 3030369641
- ISBN 13
- 9783030369644
- Series
- Book 64 of 95: Studies in Big Data
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
This book explores internet applications in which a crucial role is played by classification, such as spam filtering, recommender systems, malware detection, intrusion detection and sentiment analysis. It explains how such classification problems can be solved using various statistical and machine learning methods, including K nearest neighbours, Bayesian classifiers, the logit method, discriminant analysis, several kinds of artificial neural networks, support vector machines, classification trees and other kinds of rule-based methods, as well as random forests and other kinds of classifier ensembles. The book covers a wide range of available classification methods and their variants, not only those that have already been used in the considered kinds of applications, but also those that have the potential to be used in them in the future. The book is a valuable resource for post-graduate students and professionals alike.
"Synopsis" may belong to another edition of this title.
About the Author
Martin Holeňa is senior researcher at the Institute of Computer Science, Czech Academy of Sciences, Prague, Czech Republic.
"About the title" may belong to another edition of this title.
Shipping rates from Germany to U.S.A.
| Item | 26 to 60 business days | 26 to 60 business days |
|---|---|---|
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