Title

Login

Join

Book's by Petr Pulc

Covers

List

Classification Methods for Internet Applications

By: Martin Holeňa,Petr Pulc,Martin Kopp

Write a review Read reviews Take a Quiz Solve Book Puzzle

Classification Methods for Internet Applications

By: Martin Holeňa,Petr Pulc,Martin Kopp

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.

Average ratings

N/A

5

0%

4

0%

3

0%

2

0%

1

0%

Solve jigsaw puzzle

Age

Page Count

290

Publisher

Springer Nature

Published Date

ISBN 10

3030369625

ISBN 13

9783030369620

Classification Methods for Internet Applications

By: Martin Holeňa,Petr Pulc,Martin Kopp

Write a review Read reviews Take a Quiz Solve Book Puzzle

Classification Methods for Internet Applications

By: Martin Holeňa,Petr Pulc,Martin Kopp

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.

Average ratings

N/A

5

0%

4

0%

3

0%

2

0%

1

0%

Solve jigsaw puzzle

Age

Page Count

290

Publisher

Springer Nature

Published Date

ISBN 10

3030369625

ISBN 13

9783030369620