— The environmental science and engineering communities are actively engaged in planning and developing the next generation of large-scale sensor-based observing systems. These s...
Sameer Tilak, Paul Hubbard, Matt Miller, Tony Foun...
Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
Y. Dora Cai, David Clutter, Greg Pape, Jiawei Han,...
Many organizations today have more than very large databases; they have databases that grow without limit at a rate of several million records per day. Mining these continuous dat...
Integrating data from multiple sources has been a longstanding challenge in the database community. Techniques such as privacy-preserving data mining promises privacy, but assume ...
Chris Clifton, Murat Kantarcioglu, AnHai Doan, Gun...
There has been much recent interest in on-line data mining. Existing mining algorithms designed for stored data are either not applicable or not effective on data streams, where r...