Knowledge mining using intelligent agents

Knowledge Mining Using Intelligent Agents explores the concept of knowledge discovery processes and enhances decision-making capability through the use of intelligent agents like ants, termites and honey bees. In order to provide readers with an integrated set of concepts and techniques for understa...

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Bibliographic Details
Main Authors: Dehuri, Satchidananda, Cho, Sung-Bae
Format: eBook Book
Language:English
Published: Singapore ; London World Scientific 2010
World Scientific Publishing Company
IMPERIAL COLLEGE PRESS
ICP
Edition:1
Series:Advances in computer science and engineering. Texts
Subjects:
Artificial Intelligence (Machine Learning, Neural Networks, Fuzzy Logic)
BUSINESS & ECONOMICS
Computational intelligence
Computer Systems (Database Systems, Operating Systems)
Data mining
Intelligent agents (Computer software)
Swarm intelligence
Intelligent Agent
Computational Intelligence
Knowledge Discovery
Data Mining
Evolutionary Computation
Knowledge Mining
Swarm Intelligence
ISBN:184816386X, 9781848163867, 9781848163874, 1848163878
Online Access:Get full text
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Summary:Knowledge Mining Using Intelligent Agents explores the concept of knowledge discovery processes and enhances decision-making capability through the use of intelligent agents like ants, termites and honey bees. In order to provide readers with an integrated set of concepts and techniques for understanding knowledge discovery and its practical utility, this book blends two distinct disciplines — data mining and knowledge discovery process, and intelligent agents-based computing (swarm intelligence and computational intelligence). For the more advanced reader, researchers, and decision/policy-makers are given an insight into emerging technologies and their possible hybridization, which can be used for activities like dredging, capturing, distributions and the utilization of knowledge in their domain of interest (i.e. business, policy-making, etc.).By studying the behavior of swarm intelligence, this book aims to integrate the computational intelligence paradigm and intelligent distributed agents architecture to optimize various engineering problems and efficiently represent knowledge from the large gamut of data.
Bibliography:Includes bibliographical references
ISBN:184816386X
9781848163867
9781848163874
1848163878
DOI:10.1142/p639