This experience paper summarizes the key lessons we learned throughout the design and implementation of the Aurora stream processing engine. For the past two years, we have built f...
Hari Balakrishnan, Magdalena Balazinska, Donald Ca...
- Due to the runtime flexibility offered by field programmable gate arrays (FPGAs), FPGAs are popular devices for stream processing systems, since many stream processing applicatio...
A Multi-Agent based approach to clustering using a generic Multi-Agent Data Mining (MADM) framework is described. The process use a collection of agents, running several different ...
Santhana Chaimontree, Katie Atkinson, Frans Coenen
The complexity, approximation and algorithmic issues of several clustering problems are studied. These non-traditional clustering problems arise from recent studies in microarray ...
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...