Intelligent Agents in Data-intensive Computing (Record no. 80362)

000 -LEADER
fixed length control field 03738nam a22005655i 4500
001 - CONTROL NUMBER
control field 978-3-319-23742-8
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801222051.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 150921s2016 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319237428
-- 978-3-319-23742-8
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
245 10 - TITLE STATEMENT
Title Intelligent Agents in Data-intensive Computing
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2016.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVIII, 216 p. 61 illus., 29 illus. in color.
490 1# - SERIES STATEMENT
Series statement Studies in Big Data,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Bio-Inspired ICT for Big Data Management in Healthcare -- Control AspectsiIn Multiagent Systems -- A Different Perspective of Agent-Based Techniques: Markovian Agents -- Autonomous, Adaptive, And Self-Organized Multiagent Systems for the Optimization of Decentralized Industrial Processes -- Formal Specification Language and Agent Applications -- Large-Scale Simulations with FLAME -- Cloud Computing and Multiagent Systems, A Promising Relationship -- Privacy Risks in Cloud Computing -- Adaptive Resource Allocation in Cloud Computing Based on Agreement Protocols.
520 ## - SUMMARY, ETC.
Summary, etc This book presents new approaches that advance research in all aspects of agent-based models, technologies, simulations and implementations for data intensive applications. The nine chapters contain a review of recent cross-disciplinary approaches in cloud environments and multi-agent systems, and important formulations of data intensive problems in distributed computational environments together with the presentation of new agent-based tools to handle those problems and Big Data in general. This volume can serve as a reference for students, researchers and industry practitioners working in or interested in joining interdisciplinary work in the areas of data intensive computing and Big Data systems using emergent large-scale distributed computing paradigms. It will also allow newcomers to grasp key concepts and potential solutions on advanced topics of theory, models, technologies, system architectures and implementation of applications in Multi-Agent systems and data intensive computing. .
700 1# - AUTHOR 2
Author 2 Kołodziej, Joanna.
700 1# - AUTHOR 2
Author 2 Correia, Luís.
700 1# - AUTHOR 2
Author 2 Manuel Molina, José.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-319-23742-8
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2016.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data mining.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Mining and Knowledge Discovery.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2197-6511 ;
912 ## -
-- ZDB-2-ENG
912 ## -
-- ZDB-2-SXE

No items available.