Graph data are subject to uncertainties in many applications due to incompleteness and imprecision of data. Mining uncertain graph data is semantically different from and computat...
HiperSense is a system for sensing and data visualization. Its sensing part is comprised of a heterogeneous wireless sensor network (WSN) as enabled by infrastructure support for h...
Pai H. Chou, Chong-Jing Chen, Stephen F. Jenks, Su...
The pre-computation of data cubes is critical to improving the response time of On-Line Analytical Processing (OLAP) systems and can be instrumental in accelerating data mining ta...
Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andre...
Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...
Extending relational database functionality to include data mining primitives is one step towards the greater goal of more closely integrated database and mining systems. This pape...