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JBI
2007

Knowledge construction from time series data using a collaborative exploration system

9 years 10 months ago
Knowledge construction from time series data using a collaborative exploration system
This paper deals with the exploration of biomedical multivariate time series to construct typical parameter evolution or scenarios. This task is known to be difficult: the temporal and multivariate nature of the data at hand and the context-sensitive aspect of data interpretation hamper the formulation of a priori knowledge about the kind of patterns that can be detected as well as their interrelations. This paper proposes a new way to tackle this problem based on a human–computer collaborative approach involving specific annotahree grounding principles, namely autonomy, adaptability and emergence, support the co-construction of successive abstraction levels for data interpretation. An agent-based design is proposed to support these principles. Preliminary results in a clinical context are presented to support our proposal. A comparison with two well-known time series exploration tools is furthermore performed. Ó 2007 Elsevier Inc. All rights reserved.
Thomas Guyet, Catherine Garbay, Michel Dojat
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2007
Where JBI
Authors Thomas Guyet, Catherine Garbay, Michel Dojat
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