Great e orts have been paid in the Intelligent Database Systems Research Lab for the research and development of e cient data mining methods and construction of on-line analytical...
In distributed data mining models, adopting a flat node distribution model can affect scalability. To address the problem of modularity, flexibility and scalability, we propose...
Distributed Shared Memory (DSM) combines the scalability of loosely coupled multicomputer systems with the ease of usability of tightly coupled multiprocessors, and allows transpa...
M. Rasit Eskicioglu, T. Anthony Marsland, Weiwu Hu...
This paper presents a general framework for adapting any generative (model-based) clustering algorithm to provide balanced solutions, i.e., clusters of comparable sizes. Partition...
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...