The problem of identifying deviating patterns in XML repositories has important applications in data cleaning, fraud detection, and stock market analysis. Current methods determine...
Ubiquitous Knowledge Discovery is a new research area at the intersection of machine learning and data mining with mobile and distributed systems. In this paper the main character...
A service discovery framework provides a collection of protocols for developing dynamic client/server applications, allowing clients to find and use services without any previous ...
Clustering ensembles combine different clustering solutions into a single robust and stable one. Most of existing methods become highly time-consuming when the data size turns to ...
Application designers of collaborative distributed Virtual Environments must account for the influence of the network connection and its detrimental effects on user performance. ...
Alexey Tumanov, Robert S. Allison, Wolfgang St&uum...