Paper: D. Cristea, C. Săcărea , D. Șotropa, Knowledge Discovery and Visualization in Healthcare Datasets using Formal Concept Analysis and Graph Databases, 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020, pp. 35-42
Abstract: Among the major advances in Artificial Intelligence we
can mention Knowledge Discovery, Processing and Representation. Since in our modern society the healthcare system plays an important role and has a major impact in our daily lives, it lies at hand to apply the aforementioned methods in order to discover relevant patterns in healthcare databases and then to represent them in a way which supports reasoning, decision making, and communication. We approach this task by using two complementary directions, which are then interlinked. On the one hand we make use of the graphical representation capabilities of Formal Concept Analysis (FCA) and its powerful algorithms for conceptual knowledge discovery and processing. On the other, we use graph databases as a complementary visualization method of the extracted knowledge patterns. We
exemplify this approach on a particular medical dataset, highlighting a 3D representation of conceptual hierarchies by using virtual reality (VR).
Keywords: Knowledge Discovery, visualization method, Formal Concept Analysis , knowledge patterns