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Item Details
Title: DATA MINING AND MULTI-AGENT INTEGRATION
By: Longbing Cao (Editor)
Format: Paperback

List price: £145.00


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 1489984402
ISBN 13: 9781489984401
Publisher: SPRINGER-VERLAG NEW YORK INC.
Pub. date: 10 February, 2015
Edition: 2009 ed.
Pages: 348
Description: This book details the state-of-the-art research and development regarding the synergism of multiagents and data mining. Specifically, it presents the methodologies, algorithms and systems that integrate these two cutting-edge technologies.
Synopsis: Data Mining and Multi agent Integration aims to re?ect state of the art research and development of agent mining interaction and integration (for short, agent min ing). The book was motivated by increasing interest and work in the agents data min ing, and vice versa. The interaction and integration comes about from the intrinsic challenges faced by agent technology and data mining respectively; for instance, multi agent systems face the problem of enhancing agent learning capability, and avoiding the uncertainty of self organization and intelligence emergence. Data min ing, if integrated into agent systems, can greatly enhance the learning skills of agents, and assist agents with predication of future states, thus initiating follow up action or intervention. The data mining community is now struggling with mining distributed, interactive and heterogeneous data sources. Agents can be used to man age such data sources for data access, monitoring, integration, and pattern merging from the infrastructure, gateway, message passing and pattern delivery perspectives. These two examples illustrate the potential of agent mining in handling challenges in respective communities.There is an excellent opportunity to create innovative, dual agent mining interac tion and integration technology, tools and systems which will deliver results in one new technology.
Illustrations: biography
Publication: US
Imprint: Springer-Verlag New York Inc.
Returns: Returnable
Some other items by this author:
ADVANCED DATA MINING AND APPLICATIONS (PB)
ADVANCED DATA MINING AND APPLICATIONS (PB)
ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING (PB)
ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING (PB)
ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING (PB)
ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING (PB)
ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING (PB)
ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING (PB)
AGENTS AND DATA MINING INTERACTION (PB)
AGENTS AND DATA MINING INTERACTION (PB)
AGENTS AND DATA MINING INTERACTION (PB)
AGENTS AND DATA MINING INTERACTION (PB)
AGENTS AND DATA MINING INTERACTION (PB)
AGENTS AND DATA MINING INTERACTION (PB)
BEHAVIOR AND SOCIAL COMPUTING (PB)
BEHAVIOR COMPUTING (HB)
BEHAVIOR COMPUTING (PB)
DATA MINING AND MULTI-AGENT INTEGRATION (HB)
DATA MINING FOR BUSINESS APPLICATIONS (HB)
DATA MINING FOR BUSINESS APPLICATIONS (PB)
DOMAIN DRIVEN DATA MINING (HB)
DOMAIN DRIVEN DATA MINING (PB)
INTRODUCTION TO AGENT MINING
METASYNTHETIC COMPUTING AND ENGINEERING OF COMPLEX SYSTEMS (HB)
METASYNTHETIC COMPUTING AND ENGINEERING OF COMPLEX SYSTEMS (PB)
NEW FRONTIERS IN APPLIED DATA MINING (PB)
POST-MINING OF ASSOCIATION RULES (HB)
TRENDS AND APPLICATIONS IN KNOWLEDGE DISCOVERY AND DATA MINING (PB)
UNDERSTANDING DATA SCIENCE (HB)



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