Periodicy detection in time series data is a challenging problem of great importance in many applications. Most previous work focused on mining synchronous periodic patterns and d...
Clustering with partial supervision finds its application in situations where data is neither entirely nor accurately labeled. This paper discusses a semisupervised clustering algo...
Social network analysis became a common technique used to model and quantify the properties of social interactions. In this paper, we propose an integrated framework to explore th...
The increasing complexity of modern Information Services (IS) makes necessary to carry on review activities. For many companies, these reviews take place within the framework of t...
Jacques Simonin, Yves Le Traon, Jean-Marc Jé...
Abstract. To advance the comprehension of complex biological processes occurring in crop plants (e.g. for improvement of growth or yield) it is of high interest to reconstruct and ...
Stephan Weise, Christian Colmsee, Eva Grafahrend-B...