scholarly journals Cloud Computing and Multi-Agent Systems: A New Promising Approach for Distributed Data Mining

Author(s):  
Benyoucef Othmane
2021 ◽  
Vol 36 ◽  
Author(s):  
Emmanuelle Grislin-Le Strugeon ◽  
Kathia Marcal de Oliveira ◽  
Dorsaf Zekri ◽  
Marie Thilliez

Abstract Introduced as an interdisciplinary area that combines multi-agent systems, data mining and knowledge discovery, agent mining is currently in practice. To develop agent mining applications involves a combination of different approaches (model, architecture, technique and so on) from software agent and data mining (DM) areas. This paper presents an investigation of the approaches used in the agent mining systems by deeply analyzing 121 papers resulting from a systematic literature review. An ontology was defined to capitalize the knowledge collected from this study. The ontology is organized according to seven main facets: the problem addressed, the application domain, the agent-related and the mining-related elements, the models, processes and algorithms. This ontology is aimed at providing support to decisions about agent mining application design.


2014 ◽  
Vol 686 ◽  
pp. 306-310
Author(s):  
Wei Guan ◽  
Hui Juan Lu ◽  
Jing Jing Chen ◽  
Jie Wu

The rapid development of Internet of Things imposes new requirements on the data mining system, due to the weak capability of traditional distributed networking data mining. To meet the needs of the Internet of Things, this paper proposes a novel distributed data-mining model to realize the seamless access between cloud computing and distributed data mining. The model is based on the cloud computing architecture, which belongs to the type of incredible nodes.


2017 ◽  
Vol 9 (2) ◽  
pp. 110-115 ◽  
Author(s):  
Artan Mazrekaj ◽  
Dorian Minarolli ◽  
Bernd Freisleben

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