Data Mining and Multi-agent Integration

Longbing Cao

ISBN 10: 1441905219 / ISBN 13: 9781441905215

Edité par Springer US, Springer New York, 2009

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - 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.

N° de réf. du vendeur 9781441905215

Détails bibliographiques

• Titre: Data Mining and Multi-agent Integration
• Éditeur: Springer US, Springer New York
• Date de parution: 2009
• Langue: anglais
• ISBN à 10 chiffres: 1441905219
• ISBN à 13 chiffres: 9781441905215
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 241 L x 160 H x 25 P (en millimètres) 241 millimètres de largeur par 160 millimètres de hauteur par 25 millimètres de profondeur
• Poids: 688 grammes

A propos de ce titre

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.