In this paper, we introduce a domain-independent classification framework based on both k-nearest neighbor and Naïve Bayesian classification algorithms. The architecture of our s...
We propose a statistical method that finds the maximum-probability segmentation of a given text. This method does not require training data because it estimates probabilities from...
A good architecture is a necessary condition to guarantee that the expected levels of performance, availability, fault tolerance, and scalability are achieved by the implemented s...
Giovanni Bricconi, Emma Tracanella, Elisabetta Di ...
The proposed approach called Topological Functioning Modeling for Model Driven Architecture (TFMfMDA) uses formal mathematical foundations of Topological Functioning Model. It intr...
: A major problem that arises from integrating different databases is the existence of duplicates. Data cleaning is the process for identifying two or more records within the datab...