Learning from Data Streams in Dynamic Environments

Learning from Data Streams in Dynamic Environments
Author :
Publisher : Springer
Total Pages : 82
Release :
ISBN-10 : 9783319256672
ISBN-13 : 331925667X
Rating : 4/5 (67X Downloads)

Book Synopsis Learning from Data Streams in Dynamic Environments by : Moamar Sayed-Mouchaweh

Download or read book Learning from Data Streams in Dynamic Environments written by Moamar Sayed-Mouchaweh and published by Springer. This book was released on 2015-12-10 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the problems of modeling, prediction, classification, data understanding and processing in non-stationary and unpredictable environments. It presents major and well-known methods and approaches for the design of systems able to learn and to fully adapt its structure and to adjust its parameters according to the changes in their environments. Also presents the problem of learning in non-stationary environments, its interests, its applications and challenges and studies the complementarities and the links between the different methods and techniques of learning in evolving and non-stationary environments.


Learning from Data Streams in Dynamic Environments Related Books

Learning from Data Streams in Dynamic Environments
Language: en
Pages: 82
Authors: Moamar Sayed-Mouchaweh
Categories: Technology & Engineering
Type: BOOK - Published: 2015-12-10 - Publisher: Springer

GET EBOOK

This book addresses the problems of modeling, prediction, classification, data understanding and processing in non-stationary and unpredictable environments. It
Learning from Data Streams in Evolving Environments
Language: en
Pages: 320
Authors: Moamar Sayed-Mouchaweh
Categories: Technology & Engineering
Type: BOOK - Published: 2018-07-28 - Publisher: Springer

GET EBOOK

This edited book covers recent advances of techniques, methods and tools treating the problem of learning from data streams generated by evolving non-stationary
Machine Learning for Data Streams
Language: en
Pages: 262
Authors: Albert Bifet
Categories: Computers
Type: BOOK - Published: 2018-03-16 - Publisher: MIT Press

GET EBOOK

A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software
Learning in Non-Stationary Environments
Language: en
Pages: 439
Authors: Moamar Sayed-Mouchaweh
Categories: Technology & Engineering
Type: BOOK - Published: 2012-04-13 - Publisher: Springer Science & Business Media

GET EBOOK

Recent decades have seen rapid advances in automatization processes, supported by modern machines and computers. The result is significant increases in system c
Learning from Data Streams
Language: en
Pages: 486
Authors: João Gama
Categories: Computers
Type: BOOK - Published: 2007-10-11 - Publisher: Springer Science & Business Media

GET EBOOK

Processing data streams has raised new research challenges over the last few years. This book provides the reader with a comprehensive overview of stream data p