Nowadays, classical conceptual models (such as ER or UML) are used for designing database applications. These classical conceptual models usually come with associated CASE tools a...
Mohammed Minout, Christine Parent, Esteban Zim&aac...
In this paper we discuss variational data assimilation using the STEM atmospheric Chemical Transport Model. STEM is a multiscale model and can perform air quality simulations and p...
An important issue in text mining is how to make use of multiple pieces knowledge discovered to improve future decisions. In this paper, we propose a new approach to combining mult...
Despite the benefits of standards-based Electronic Data Interchange (EDI) modes of communication, only a small percentage of organizations have adopted even a single form of EDI. ...
We introduce a robust and efficient framework called CLUMP (CLustering Using Multiple Prototypes) for unsupervised discovery of structure in data. CLUMP relies on finding multip...