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https://doi.org/10.2498/cit.2004.01.04

Personalized Trust Management in Decision Making: A Dynamic Clustering Approach

Dimitrios P Papamichail
Georgios P Papamichail

Puni tekst: engleski, pdf (119 KB) str. 47-53 preuzimanja: 361* citiraj
APA 6th Edition
Papamichail, D.P. i Papamichail, G.P. (2004). Personalized Trust Management in Decision Making: A Dynamic Clustering Approach. Journal of computing and information technology, 12 (1), 47-53. https://doi.org/10.2498/cit.2004.01.04
MLA 8th Edition
Papamichail, Dimitrios P i Georgios P Papamichail. "Personalized Trust Management in Decision Making: A Dynamic Clustering Approach." Journal of computing and information technology, vol. 12, br. 1, 2004, str. 47-53. https://doi.org/10.2498/cit.2004.01.04. Citirano 07.03.2021.
Chicago 17th Edition
Papamichail, Dimitrios P i Georgios P Papamichail. "Personalized Trust Management in Decision Making: A Dynamic Clustering Approach." Journal of computing and information technology 12, br. 1 (2004): 47-53. https://doi.org/10.2498/cit.2004.01.04
Harvard
Papamichail, D.P., i Papamichail, G.P. (2004). 'Personalized Trust Management in Decision Making: A Dynamic Clustering Approach', Journal of computing and information technology, 12(1), str. 47-53. https://doi.org/10.2498/cit.2004.01.04
Vancouver
Papamichail DP, Papamichail GP. Personalized Trust Management in Decision Making: A Dynamic Clustering Approach. Journal of computing and information technology [Internet]. 2004 [pristupljeno 07.03.2021.];12(1):47-53. https://doi.org/10.2498/cit.2004.01.04
IEEE
D.P. Papamichail i G.P. Papamichail, "Personalized Trust Management in Decision Making: A Dynamic Clustering Approach", Journal of computing and information technology, vol.12, br. 1, str. 47-53, 2004. [Online]. https://doi.org/10.2498/cit.2004.01.04

Sažetak
This paper presents a personalized approach for distributed trust management by employing the k-means range algorithm, a combination of the partitional k-means clustering algorithm with orthogonal range search concepts. The aim of this approach is to aid the human or computer agent in organizing information from multiple sources into clusters according to its “trust features”. Thus the agent can perform complicated trust assessments in real-time situations and cooperate with decision-making software to assist in purchasing activities. We conclude by discussing the implications and advantages of this approach in trust management in traditional and mobile e-commerce applications.

Hrčak ID: 44732

URI
https://hrcak.srce.hr/44732

Posjeta: 514 *