Titlebook: Data Mining and Multi-agent Integration; Longbing Cao Book 2009 Springer-Verlag US 2009 AAMAS.Clustering.agent-enriched data mining.algori

Aprope

流動才波動

Spanning Trees and Arborescences,cient approaches of multiagent based large pattern clustering that would generate abstraction with single database scan, integrating domain knowledge, multiagent systems, data mining and intelligence through agent-mining interaction. We illustrate the approaches based on implementation on practical data.

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肥料

Kristóf Bérczi,Tamás Király,Simon Omlorl with complex systems has revealed opportunities to improve distributed data mining systems in a number of ways. This paper surveys the integration of multi-agent system and distributed data mining, also known as agent-based distributed data mining, in terms of significance, system overview, existing systems, and research trends.

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細(xì)頸瓶

Michael Z. Zgurovsky,Alexander A. Pavlovobjective clustering process is performed by combining the results of all colonies. Experimental evaluation shows that MACC is able to find better results than the case where colonies optimize a single objective separately.

擦試不掉

Book 2009t, 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 o

燈絲

一回合

Automatic Web Data Extraction Based on Genetic Algorithms and Regular Expressionsproach to the problem of automatically learn software entities based on Genetic Algorithms and regular expressions. These entities, also called ., will be able to extract some kind of Web data structures from examples.

Ligament

Establishment and Maintenance of a Knowledge Network by Means of Agents and Implicit Dataeb. In order to do this, each instance of the system is represented by a software agent, which is in charge of interacting with Web search engines and collaborating with the agents that represent other system instances, thereby using data mining techniques. As a result, SKC manages to build and maintain a network node to share knowledge.