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Regular version of the site

Book chapter

On Projections of Sequential Pattern Structures (with an application on care trajectories)

P. 199-210.
Buzmakov A. V., Egho E., Jay N., Kuznetsov S., Napoli A., Raissi C.

In  this  paper,  we  are  interested  in  the  analysis  of  sequential  data  and  we  propose  an  original  framework  based  on  FCA.  For that,  we  introduce  sequential  pattern  structures,  an  original  specification  of  pattern  structures  for  dealing  with  sequential  data.  Sequential pattern structures are given by a subsumption operation between set of sequences, based on subsequence matching. To avoid a huge number of resulting  concepts,  domain  knowledge  projections  can  be  applied.  The original definition of projections is revised in order to operate on sequential  pattern  structures  in  a  meaningful  way.  Based  on  the  introduced definition, several projections of sequential pattern structures involving domain or expert knowledge are defined and discussed. This projections are  evaluated  on  a  real  dataset  on  care  trajectories  where  every  hospitalization is described by a heterogeneous tuple with different fields.  The evaluation reveals interesting concepts and justify the usage of introduced projections of sequential pattern structures. This research work provides a new and efficient extension of FCA to deal with complex data, which can be an alternative to the analysis of sequential datasets.

 



In book

La Rochelle: Laboratory L3i, University of La Rochelle, 2013.