226 search results - page 5 / 46 » Approximate Clustering on Distributed Data Streams |
VLDB
2005
ACM
14 years 1 months ago
2005
ACM
Emerging data stream management systems approach the challenge of massive data distributions which arrive at high speeds while there is only small storage by summarizing and minin...
INFOCOM
2010
IEEE
13 years 6 months ago
2010
IEEE
— Quantiles are very useful in characterizing the data distribution of an evolving dataset in the process of data mining or network monitoring. The method of Stochastic Approxima...
CLOUD
2010
ACM
14 years 23 days ago
2010
ACM
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
PODS
2003
ACM
14 years 7 months ago
2003
ACM
The sliding window model is useful for discounting stale data in data stream applications. In this model, data elements arrive continually and only the most recent N elements are ...
PVLDB
2010
13 years 6 months ago
2010
Uncertain data streams are increasingly common in real-world deployments and monitoring applications require the evaluation of complex queries on such streams. In this paper, we c...