lot of work was done in this area, mining such data is still a challenge. No previous research
work targets the mining of heterogeneous multidimensional sequential data. This thesis
proposes a contribution to knowledge discovery in heterogeneous sequential data. We
study three different research directions:(i) Extractionof sequential patterns,(ii) Classification
and (iii) Clustering of sequential data. Firstly we generalize the notion of a multidimensional …