Spatio-temporal databases store information about the positions of individual objects over time. In many applications however, such as traffic supervision or mobile communication ...
Dimitris Papadias, Yufei Tao, Panos Kalnis, Jun Zh...
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin ...
Cluster analysis of ranking data, which occurs in consumer questionnaires, voting forms or other inquiries of preferences, attempts to identify typical groups of rank choices. Emp...
Supporting fast access to large RDF stores has been one of key challenges for enabling use of the Semantic Web in real-life applications, more so in sensor-based systems where lar...
Craig Sayers, Geetha Manjunath, K. S. Venugopal, R...
Access and retrieval of meteorological and oceanographic data from heterogeneous sources in a distributed system presents many issues. Effective bandwidth utilization is important...
Udaykiran Katikaneni, Roy Ladner, Frederick E. Pet...