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SIGMETRICS
2011
ACM
208views Hardware» more  SIGMETRICS 2011»
8 years 2 months ago
Structure-aware sampling on data streams
The massive data streams observed in network monitoring, data processing and scientific studies are typically too large to store. For many applications over such data, we must ob...
Edith Cohen, Graham Cormode, Nick G. Duffield
SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
8 years 2 months ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham
VLDB
2002
ACM
137views Database» more  VLDB 2002»
8 years 11 months ago
Comparing Data Streams Using Hamming Norms (How to Zero In)
Massive data streams are now fundamental to many data processing applications. For example, Internet routers produce large scale diagnostic data streams. Such streams are rarely s...
Graham Cormode, Mayur Datar, Piotr Indyk, S. Muthu...
SSD
2007
Springer
150views Database» more  SSD 2007»
9 years 6 months ago
Online Amnesic Summarization of Streaming Locations
Abstract. Massive data streams of positional updates become increasingly difficult to manage under limited memory resources, especially in terms of providing near real-time respons...
Michalis Potamias, Kostas Patroumpas, Timos K. Sel...
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