838 search results - page 12 / 168 » Modeling skew in data streams |
SIGMOD
2005
ACM
14 years 10 months ago
2005
ACM
The recent advances in hardware and software have enabled the capture of different measurements of data in a wide range of fields. These measurements are generated continuously an...
PODS
2007
ACM
14 years 10 months ago
2007
ACM
This paper gives an overview of recent work on machine models for processing massive amounts of data. The main focus is on generalizations of the classical data stream model where...
SAC
2009
ACM
14 years 4 months ago
2009
ACM
In the past years, the theory and practice of machine learning and data mining have been focused on static and finite data sets from where learning algorithms generate a static m...
DIS
2004
Springer
14 years 3 months ago
2004
Springer
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
SIGMOD
2003
ACM
14 years 10 months ago
2003
ACM
We consider the problem of approximating sliding window joins over data streams in a data stream processing system with limited resources. In our model, we deal with resource cons...