ICDM
2009
IEEE
13 years 2 months ago
2009
IEEE
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
IJCAI
1989
13 years 5 months ago
1989
A real-time AI system in the real world needs to monitor an immense volume of data. To do this, the system must filter out much of the incoming data. However, it must remain re ...
DEXA
2006
Springer
13 years 8 months ago
2006
Springer
Streaming applications, such as environment monitoring and vehicle location tracking require handling high volumes of continuously arriving data and sudden fluctuations in these vo...
MM
2005
ACM
13 years 10 months ago
2005
ACM
alization is a combination of abstract generated forms and found imagery. The frequency, amplitude, and percentage differences between samples of incoming data are mapped to forms ...
IDEAS
2006
IEEE
13 years 10 months ago
2006
IEEE
We present a parallel version of BIRCH with the objective of enhancing the scalability without compromising on the quality of clustering. The incoming data is distributed in a cyc...
IPPS
2007
IEEE
13 years 11 months ago
2007
IEEE
We consider storage in an extremely large-scale distributed computer system designed for stream processing applications. In such systems, incoming data and intermediate results ma...
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
Recent years have witnessed an increasing number of studies in stream mining, which aim at building an accurate model for continuously arriving data. Somehow most existing work ma...