Existing data mining techniques mostly focus on finding global patterns and lack the ability to systematically discover regional patterns. Most relationships in spatial datasets ar...
Oner Ulvi Celepcikay, Christoph F. Eick, Carlos Or...
Grid applications require allocating a large number of heterogeneous tasks to distributed resources. A good allocation is critical for efficient execution. However, many existing ...
James Blythe, S. Jain, Ewa Deelman, Yolanda Gil, K...
—Mobile devices can produce continuous streams of data which are often specific to the person carrying them. We show that cell phone tracks from the MIT Reality dataset can be u...
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
— The spatio-temporal modelling and forecasting of incidences of crimes have now become a routine part of crime prevention operations. However, obtaining reliable forecasts for c...
Christian Ivaha, Hasan Al-Madfai, Gary Higgs, J. A...