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Now showing items 1-9 of 9
Presentation
Data-in-the-cloud City: Análisis proactivo de la información digital de la ciudad
(Universidad de Coimbra, 2011)
Article
Complex concept lattices for simulating human prediction in sport
(Springer, 2013)
In order to address the study of complex systems, the detection of patterns in their dynamics could play a key role in understanding their evolution. In particular, global patterns are required to detect emergent concepts ...
Presentation
Simulating Language Dynamics by Means of Concept Reasoning
(Springer, 2012)
A problem in the phenomenological reconstruction of Complex Systems (CS) is the extraction of the knowledge that elements playing in CS use during its evolution. This problem is important because such a knowledge would ...
Presentation
Phenomenological Percolation in Conceptual Networks associated to Complex Systems
(IEEE Computer Society, 2014)
A notion of phenomenological percolation for Conceptual Structures associated to Complex Systems (CS) is proposed. This process on concept lattices (from Formal Concept Analysis) consists in the allocation of (non-previous) ...
Article
On the Phenomenological Reconstruction of Complex Systems—The Scale-Free Conceptualization Hypothesis
(Wiley, 2013)
Phenomenological reconstruction of a complex system (CS) from collected and selected data allows us to work with formal models (representations) of the system. The task of building a qualitative model necessitates the ...
Presentation
Confidence-Based Reasoning with Local Temporal Formal Contexts
(Springer, 2011)
Formal Concept Analysis (FCA) is a theory whose goal is to discover and to extract Knowledge from qualitative data. It provides tools for reasoning with implication basis (and association rules). In this paper we analyse ...
Presentation
On the Complexity of Shared Conceptualizations
(Springer, 2012)
In the Social Web, folksonomies and other similar knowledge organization techniques may suffer limitations due to both different users’ tagging behaviours and semantic heterogeneity. In order to estimate how a social ...
Presentation
Bounded Rationality for Data Reasoning based on Formal Concept Analysis
(IEEE, 2011)
Formal Concept Analysis (FCA) is a theory whose goal is to discover and extract Knowledge from qualitative data. It also provides tools for sound reasoning (implication basis and association rules). The aim of this paper ...
Presentation
Selecting Attributes for Sport Forecasting using Formal Concept Analysis
(Cornell University Library, 2011)
In order to address complex systems, apply pattern recongnition on their evolution could play an key role to understand their dynamics. Global patterns are required to detect emergent concepts and trends, some of them ...