Sciweavers

7690 search results - page 239 / 1538
» Clustering Data Streams
Sort
View
VLDB
2004
ACM
108views Database» more  VLDB 2004»
16 years 6 months ago
Retrospective on Aurora
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...
DATE
2010
IEEE
174views Hardware» more  DATE 2010»
15 years 11 months ago
VAPRES: A Virtual Architecture for Partially Reconfigurable Embedded Systems
- 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...
Abelardo Jara-Berrocal, Ann Gordon-Ross
ADMI
2010
Springer
15 years 8 months ago
Clustering in a Multi-Agent Data Mining Environment
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
COCOON
2005
Springer
16 years 4 days ago
Algorithmic and Complexity Issues of Three Clustering Methods in Microarray Data Analysis
The complexity, approximation and algorithmic issues of several clustering problems are studied. These non-traditional clustering problems arise from recent studies in microarray ...
Jinsong Tan, Kok Seng Chua, Louxin Zhang
SDM
2009
SIAM
220views Data Mining» more  SDM 2009»
16 years 3 months ago
Bayesian Cluster Ensembles.
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...
Hongjun Wang, Hanhuai Shan, Arindam Banerjee