Knowledge Mining Using Intelligent Agents
Language: English
Published by Imperial College Press, 2010
- Hardcover
- Used
Seller: Bookbot, Prague, Czech RepublicBookbot
AbeBooks seller since October 7, 2023
Condition: Used - Fair
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Aus einer Bibliothek ausgesondert/ Stempel; Leichte Kratzer / Abnutzungen / Druckstellen. 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.…
Seller Inventory # e183708f-1cf0-48a3-83ee-8f2289e64a67
- Title
- Knowledge Mining Using Intelligent Agents
- Author
- Satchidananda Dehuri
- Publisher
- Imperial College Press
- Publication year
- 2010
- Condition
- Fair
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 184816386X
- ISBN 13
- 9781848163867
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
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