This paper examines the way in which a knowledge management system (KMS)—by which we mean the people, processes and software—came into being and evolved in response to a varie...
Christine Halverson, Thomas Erickson, Mark S. Acke...
Cluster analysis is a common approach to pattern discovery in spatial databases. While many clustering techniques have been developed, it is still challenging to discover implicit...
Recent work in sensor databases has focused extensively on distributed query problems, notably distributed computation of aggregates. Existing methods for computing aggregates bro...
A virtual database system is software that provides unified access to multiple information sources. If the sources are overlapping in their contents and independently maintained,...
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...