We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
The integration of heterogeneous legacy databases requires understanding of database structure and content. We previously developed a theoretical and software infrastructure to sup...
Mark S. Schmalz, Joachim Hammer, Mingxi Wu, Oguzha...
Pervasive computing applications are tedious to develop because they combine a number of problems ranging from device heterogeneity, to middleware constraints, to lack of programm...
Charles Consel, Wilfried Jouve, Julien Lancia, Nic...
Recommender Systems (RS) so far have been applied to many fields of e-commerce in order to assist users in finding the products that best meet their preferences. However, while th...
Breadth and depth complexity are key challenges in achieving business process fusion as the enabler for value configuration design. The PARM framework is proposed as the requiremen...