Titlebook: Autonomous Intelligent Systems: Multi-Agents and Data Mining; Second International Vladimir Gorodetsky,Chengqi Zhang,Longbing Cao Conferenc

CANON

https://doi.org/10.1007/978-3-030-78946-6ed as a basis for building of decision trees allowing (semi)automatically selection of best decisions in a typical situation. Modeling of an emergency response management system implementing the research results has been done using software agents playing roles of different types of the system users

ORE

Hot-Flash

橢圓

牲畜欄

Ontos Solutions for Semantic Web: Text Mining, Navigation and Analytics for Semantic Web and innovative services are presented. In the context of the proposed solution Web mining is carried out by special OntosMiner agents, which provide the ontology-driven processing of multilingual text collections on the basis of the special kind of content extraction technologies.

平息

Robust Agent Communitiesre, identify, and locate goods and services. Such information worlds will present unforeseen opportunities as well as challenges that can be best addressed by robust, self-sustaining agent communities. An agent community is a stable, adaptive group of self-interested agents that share common resourc

優(yōu)雅

WI Based Multi-aspect Data Analysis in a Brain Informatics Portalta measurement, management and analysis. Building a brain informatics portal is, in fact, to develop a data mining grid centric multi-layer grid system on the Wisdom Web, on which various data mining agents are deployed, for multi-aspect data analysis. We propose an approach for collecting, modeling

Optometrist

侵略者

Evaluating Knowledge Intensive Multi-agent Systemste and sophisticated knowledge extraction technologies are needed. Towards this direction, the inherently contradicting technologies of deductive software agents and inductive data mining have been integrated, in order to address knowledge intensive problems. However, there exists no generalized eva

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