The advancement of GIS data models to allow the eOEective utilization of very large heterogeneous geographic databases requires a new approach that incorporates models of human cog...
Observed in many applications, there is a potential need of extracting a small set of frequent patterns having not only high significance but also low redundancy. The significance...
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...
On-Line Analytical Processing (OLAP) systems based on a multidimensional view of data have found widespread use in business applications and are being used increasingly in non-sta...
Security is one of the major concerns when developing missioncritical business applications, and this concern motivated the Web Services Security specifications. However, the exis...