Defect density and defect prediction are essential for efficient resource allocation in software evolution. In an empirical study we applied data mining techniques for value seri...
The idea that context is important when predicting customer behavior has been maintained by scholars in marketing and data mining. However, no systematic study measuring how much t...
Cosimo Palmisano, Alexander Tuzhilin, Michele Gorg...
Given the heterogeneous nature of biological data and their intensive use in many tools, in this paper we propose a semantic data access and integration (DAI) service, based on th...
Giovanni Aloisio, Massimo Cafaro, Italo Epicoco, S...
-- In Grid collaborations, scientists use middleware to execute computational experiments, visualize results, and securely share data on resources ranging from desktop machines to ...
Weide Zhang, David Del Vecchio, Glenn S. Wasson, M...
Data clustering is an important task in many disciplines. A large number of studies have attempted to improve clustering by using the side information that is often encoded as pai...