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Modern Big Data Architectures

A Multi-Agent Systems Perspective

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Éditeur :

Wiley


Paru le : 2020-04-09



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Description

Provides an up-to-date analysis of big data and multi-agent systems
The term Big Data refers to the cases, where data sets are too large or too complex for traditional data-processing software. With the spread of new concepts such as Edge Computing or the Internet of Things, production, processing and consumption of this data becomes more and more distributed. As a result, applications increasingly require multiple agents that can work together. A multi-agent system (MAS) is a self-organized computer system that comprises multiple intelligent agents interacting to solve problems that are beyond the capacities of individual agents. Modern Big Data Architectures examines modern concepts and architecture for Big Data processing and analytics.
This unique, up-to-date volume provides joint analysis of big data and multi-agent systems, with emphasis on distributed, intelligent processing of very large data sets. Each chapter contains practical examples and detailed solutions suitable for a wide variety of applications. The author, an internationally-recognized expert in Big Data and distributed Artificial Intelligence, demonstrates how base concepts such as agent, actor, and micro-service have reached a point of convergence—enabling next generation systems to be built by incorporating the best aspects of the field. This book: Illustrates how data sets are produced and how they can be utilized in various areas of industry and science Explains how to apply common computational models and state-of-the-art architectures to process Big Data tasks Discusses current and emerging Big Data applications of Artificial Intelligence
Modern Big Data Architectures: A Multi-Agent Systems Perspective is a timely and important resource for data science professionals and students involved in Big Data analytics, and machine and artificial learning. 
Pages
208 pages
Collection
n.c
Parution
2020-04-09
Marque
Wiley
EAN papier
9781119597841
EAN PDF
9781119597940
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
208
Taille du fichier
4055 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
58,66 €
EAN EPUB
9781119597933
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
208
Taille du fichier
8397 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
58,66 €

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