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

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Agent-Based Distributed Data Mining: A Surveynment must encounter great dynamics due to changes in the system can affect the overall performance of the system. Agent computing whose aim is to deal with complex systems has revealed opportunities to improve distributed data mining systems in a number of ways. This paper surveys the integration o

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低三下四之人

萬(wàn)靈丹

A Multi-Agent System for Extracting and Analysing Users’ Interaction in a Collaborative Knowledge Maed KnowCat. The proposed MAS employs Web Use Mining and Web Structure Mining techniques in order to detect the most relevant interactions of the Know- Cat users and therefore should have more weight in the Knowledge Crystallization mechanism of KnowCat. More concretely, the MAS extracts the users in

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Towards Information Enrichment through Recommendation Sharingganisation based on the organisation’s datasets only. Very often the datasets of a single organisation do not have sufficient resources to be used to generate quality recommendations. Therefore, it would be beneficial if recommender systems of different organisations with similar nature can cooperat

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A Multiagent-based Intrusion Detection System with the Support of Multi-Class Supervised Classificat network intrusion detection systems (IDSs). IDSs are expected to analyze a large volume of data while not placing a significantly added load on the monitoring systems and networks. This requires good data mining strategies which take less time and give accurate results. In this study, a novel data

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Automatic Web Data Extraction Based on Genetic Algorithms and Regular Expressionsare related to the extraction, management and reuse of the huge amount ofWeb data available. These data usually has a high heterogeneity, volatility and low quality (i.e. format and content mistakes), so it is quite hard to build reliable systems. This chapter proposes an Evolutionary Computation ap

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Establishment and Maintenance of a Knowledge Network by Means of Agents and Implicit Dataain aim of SKC is to select the knowledge contained in the system by paying attention to its use. This paper presents the SKC Network Module (NM), which is in charge of discovering other instances of the system on the Internet and establishing contact with them to create a knowledge network on the W

COMA

柔軟

A Multi-Agent Learning Paradigm for Medical Data Mining Diagnostic Workbenchge technologies - data mining and multi-agent. To fulfill this effort, . .DiaMAS – an intelligent and interactive diagnostic workbench with multi-agent strategy, has been designed and partially implemented, where multi-agent approach can perfectly compensate most data mining methods that are only ca