Classification Methods for Internet Applications is popular PDF and ePub book, written by Martin Holeňa in 2020-01-29, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Classification Methods for Internet Applications can be Read Online from any device for your convenience.
Classification Methods for Internet Applications Book PDF Summary
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.
Detail Book of Classification Methods for Internet Applications PDF
- Author : Martin Holeňa
- Release : 29 January 2020
- Publisher : Springer Nature
- ISBN : 9783030369620
- Genre : Technology & Engineering
- Total Page : 290 pages
- Language : English
- PDF File Size : 10,7 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Classification Methods for Internet Applications by Martin Holeňa, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.