We describe DEIMOS, a system that automatically discovers and models new sources of information. The system exploits four core technologies developed by our group that makes an en...
Data stored in a data warehouse are inherently multidimensional, but most data-pruning techniques (such as iceberg and top-k queries) are unidimensional. However, analysts need to...
Due to the problems of heterogeneous data and platforms, abundant functional and QoS requirements, high data size, and tangling correlation between data/contents and software func...
Shih-Hsi Liu, Yu Cao, Ming Li, Pranay Kilaru, Thel...
Mining frequent patterns in a data stream is very challenging for the high complexity of managing patterns with bounded memory against the unbounded data. While many approaches as...
The next-generation of wireless sensor platforms allows for more advanced in-network data processing. The central challenge remains energy and communication efficiency. This paper...