Scalable, graph-based network vulnerability analysis
Proceedings of the 9th ACM conference on Computer and communications security
Interpretation of Automata in Temporal Concept Analysis
ICCS '02 Proceedings of the 10th International Conference on Conceptual Structures: Integration and Interfaces
Towards a Temporal Extension of Formal Concept Analysis
AI '01 Proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
Formal concept analysis in information science
Annual Review of Information Science and Technology
Flow Decomposition in Complex Systems
ITNG '11 Proceedings of the 2011 Eighth International Conference on Information Technology: New Generations
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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 throughflow, providing unique insight into concept evolution within systems.