Professor Periklis Andritsos
Département des systèmes d'information
Quartier UNIL-Dorigny; Internef-138.3
CH-1015 Lausanne  | +41 21 692 34 29

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Clustering Techniques
I am interested in developing clustering algorithms for data sets with categorical attributes. I have devised “LIMBO”, a scalable algorithm that clusters both tuples of categorical data and the values within attributes of categorical data.

Schema Discovery
I am studying the use of clustering techniques in decomposing relational tables. More precisely, I am currently extending “Limbo” so that it can find regions of homogeneous content in the data.

Data Warehousing
In the past, I have conducted research on multidimensional data modeling. I have also worked on recasting Program Reverse Engineering to On-Line Analytical Processing.