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Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/1631

Title: Competence Information Fusion: Concepts and Challenges
Authors: Miao, Yongwu
Sloep, Peter
Hummel, Hans
Koper, Rob
Keywords: competence
automated competence tracking and management
data fusion
information fusion
learning network
Issue Date: 2-Dec-2008
Abstract: In tracking the development of competences in learning networks, a large amount of competence information can be gathered from diverse sources and diverse types of sources, which is subject to uncertainty and unreliable. In this presentation, we proposed that information fusion technologies may be applied to address the problem and show promise as candidate solutions for achieving an improved estimate of competences by fusing (possibly inconsistent) information coming from multiple sources.
Description: Miao, Y., Sloep, P., Hummel, H. G. K., & Koper, R. (2008). Competence Information Fusion: Concepts and Challenges. Presented in a colloquium at OUNL. November, 18, 2008, Heerlen, The Netherlands.
URI: http://hdl.handle.net/1820/1631
Appears in Collections:2. TENC: Presentations

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