Electronic Resource

Learning from Data Streams in Evolving Environments

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Penilaian

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This edited book covers recent advances of techniques, methods and tools treating the problem of learning from data streams generated by evolving non-stationary processes. The goal is to discuss and overview the advanced techniques, methods and tools that are dedicated to manage, exploit and interpret data streams in non-stationary environments. The book includes the required notions, definitions, and background to understand the problem of learning from data streams in non-stationary environments and synthesizes the state-of-the-art in the domain, discussing advanced aspects and concepts and presenting open problems and future challenges in this field.

Provides multiple examples to facilitate the understanding data streams in non-stationary environments;
Presents several application cases to show how the methods solve different real world problems;
Discusses the links between methods to help stimulate new research and application directions.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908001692	EB0002314	006.31 Lea	Central Library (OPAC)	Available

Detail Information

Series Title

Studies in Big Data

Call Number

006.31 Lea

Publisher

Switzerland : Springer Cham., 2018

Collation

VIII, 317p.:Ill

Language

English

ISBN/ISSN

978-3-319-89803-2

Classification

006.31

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Machine Learning

Specific Detail Info

-

Statement of Responsibility

BRF

Other version/related

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