Abstract
Temporal concept analysis is an extension of formal concept analysis (FCA) that introduces a time component to concept lattices allowing concepts to evolve. This time component establishes temporal orderings between concepts represented by directional edges connecting nodes within a temporal lattice. This type of relationship enforces a temporal link between concepts containing certain attributes. The evolution of concepts can provide insight into the underlying complex system causing change, and the concepts evolving can be seen as data emission from that complex system. This research utilizes models of complex systems to provide frequency histograms of activity in well-defined sub-networks within a system. Analyzing systems in this way can provide higher levels of contextual meaning than traditional system analysis calculations such as nodal connectedness and through flow, providing unique insight into concept evolution within systems.
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Luper, D., Kazanci, C., Schramski, J., Arabnia, H.R. (2011). System Decomposition for Temporal Concept Analysis. In: Andrews, S., Polovina, S., Hill, R., Akhgar, B. (eds) Conceptual Structures for Discovering Knowledge. ICCS 2011. Lecture Notes in Computer Science(), vol 6828. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22688-5_26
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DOI: https://doi.org/10.1007/978-3-642-22688-5_26
Publisher Name: Springer, Berlin, Heidelberg
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