Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
Elon S. Correa, Alex Alves Freitas, Colin G. Johns...
The problem of optimal data gathering in wireless sensor networks (WSNs) is addressed by means of optimization techniques. The goal of this work is to lay the foundations to devel...
In this paper, we address the complex problem of rapid modeling
of large-scale areas and present a novel approach for the automatic
reconstruction of cities from remote sensor da...
Charalambos Poullis (CGIT/IMSC/USC), Suya You (Uni...
The sliding window model is useful for discounting stale data in data stream applications. In this model, data elements arrive continually and only the most recent N elements are ...
Brian Babcock, Mayur Datar, Rajeev Motwani, Liadan...
Software applications that work with biomedical data have significant knowledge-management requirements. Formal knowledge models and knowledge-based methods can be very useful in m...
Martin J. O'Connor, Ravi Shankar, Samson W. Tu, Cs...