60 search results - page 1 / 12 » Combining proactive and reactive predictions for data stream... |
KDD
2005
ACM
13 years 10 months ago
2005
ACM
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
DATAMINE
2006
13 years 4 months ago
2006
JSS
2008
13 years 4 months ago
2008
Many state-of-the-art selectivity estimation methods use query feedback to maintain histogram buckets, thereby using the limited memory efficiently. However, they are "reacti...
ICDCS
2008
IEEE
13 years 11 months ago
2008
IEEE
Distributed stream processing systems (DSPSs) have many important applications such as sensor data analysis, network security, and business intelligence. Failure management is ess...
ICDE
2008
IEEE
14 years 6 months ago
2008
IEEE
In this paper, we present a new online failure forecast system to achieve predictive failure management for fault-tolerant data stream processing. Different from previous reactive ...