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» Compact Summaries over Large Datasets
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SIGMETRICS
2011
ACM
208views Hardware» more  SIGMETRICS 2011»
14 years 8 days 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
TIME
2008
IEEE
15 years 3 months ago
Time Aware Mining of Itemsets
Frequent behavioural pattern mining is a very important topic of knowledge discovery, intended to extract correlations between items recorded in large databases or Web acces logs....
Bashar Saleh, Florent Masseglia
HPDC
2006
IEEE
15 years 3 months ago
Path Grammar Guided Trace Compression and Trace Approximation
Trace-driven simulation is an important technique used in the evaluation of computer architecture innovations. However using it for studying parallel computers and applications is...
Xiaofeng Gao, Allan Snavely, Larry Carter
IDEAS
2009
IEEE
192views Database» more  IDEAS 2009»
15 years 4 months ago
A cluster-based approach to XML similarity joins
A natural consequence of the widespread adoption of XML as standard for information representation and exchange is the redundant storage of large amounts of persistent XML documen...
Leonardo Ribeiro, Theo Härder, Fernanda S. Pi...
DASFAA
2010
IEEE
419views Database» more  DASFAA 2010»
15 years 4 months ago
Incremental Clustering for Trajectories
Trajectory clustering has played a crucial role in data analysis since it reveals underlying trends of moving objects. Due to their sequential nature, trajectory data are often rec...
Zhenhui Li, Jae-Gil Lee, Xiaolei Li, Jiawei Han