Conceptual model for knowledge discovery process in databases based on multi-agent system
Purpose Knowledge discovery in databases (KDD) is a tedious and repetitive process. A
challenge for the effective use of KDD is understanding and confirming its results derived …
challenge for the effective use of KDD is understanding and confirming its results derived …
An investigation into the issues of Multi-Agent Data Mining
KA Albashiri, F Coenen, P Leng - 2012 - livrepository.liverpool.ac.uk
Multi-agent systems (MAS) often deal with complex applications that require
distributedproblem solving. In many applications the individual and collective behaviourof …
distributedproblem solving. In many applications the individual and collective behaviourof …
AgentDiscover: a multi-agent system for knowledge discovery from databases
AgentDiscover is a multi-agent based intelligent recommendation system, supporting real-
time control and feedback, for building and execution workflows for knowledge discovery …
time control and feedback, for building and execution workflows for knowledge discovery …
A distributed approach of a clinical decision support system based on cooperation
D Ruiz-Fernández, A Soriano-Payá - … , methodologies, tools and …, 2011 - igi-global.com
The incorporation of computer engineering into medicine has meant significant
improvements in the diagnosis-related tasks. This chapter presents an architecture for …
improvements in the diagnosis-related tasks. This chapter presents an architecture for …
[PDF][PDF] Multi-agent data mining with negotiation: a study in multi-agent based clustering
S Chaimontree - 2012 - cgi.csc.liv.ac.uk
Abstract Multi-Agent Data Mining (MADM) seeks to harness the general advantages offered
by Multi-Agent System (MAS) with respect to the domain of data mining. The research …
by Multi-Agent System (MAS) with respect to the domain of data mining. The research …
J-model: an open and social ensemble learning architecture for classification
J Kim - 2012 - era.ed.ac.uk
Ensemble learning is a promising direction of research in machine learning, in which an
ensemble classifier gives better predictive and more robust performance for classification …
ensemble classifier gives better predictive and more robust performance for classification …
[PDF][PDF] Applying the Concept of Agent Reputation to the Context of Diagnoses and Recommendations for Agent's Execution Plans
In Multi-Agent Systems, autonomous and heterogeneous agents can work together to
achieve the same or different goals. When an agent is not able to attain its goals, a big …
achieve the same or different goals. When an agent is not able to attain its goals, a big …