PAIS Lab Seminar: Mining of Hospitalization Trajectories with FCA and Pattern Structures // A. Buzmakov
Alexey Buzmakov PhD Student, School of Applied Mathematics and Information Science, HSE
Mining of Hospitalization Trajectories with FCA and Pattern Structures
June 5th, 2014 - 16:00 - aud. 530
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Nowadays data sets are available in very complex and heterogeneous ways. The mining of such data collections is essential to support many real-world applications ranging from healthcare to marketing. The focus of this work is on the analysis of complex sequential data by means of interesting sequential patterns. The problem is approached by using an elegant mathematical framework: Formal Concept Analysis (FCA) and its extension based on pattern structures. Pattern structures are used for mining complex data (such as sequences or graphs) and are based on a subsumption operation, which in our case is defined with respect to the partial order on sequences. We show how pattern structures along with projections (i.e., a data reduction of sequential structures), are able to enumerate more meaningful patterns and increase the computing efficiency of the approach.
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