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KDD
2004
ACM
147views Data Mining» more  KDD 2004»
15 years 12 months ago
Clustering time series from ARMA models with clipped data
Clustering time series is a problem that has applications in a wide variety of fields, and has recently attracted a large amount of research. In this paper we focus on clustering...
Anthony J. Bagnall, Gareth J. Janacek
SIGMOD
2004
ACM
144views Database» more  SIGMOD 2004»
16 years 6 months ago
Diamond in the Rough: Finding Hierarchical Heavy Hitters in Multi-Dimensional Data
Data items archived in data warehouses or those that arrive online as streams typically have attributes which take values from multiple hierarchies (e.g., time and geographic loca...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
16 years 7 months ago
Finding low-entropy sets and trees from binary data
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
Eino Hinkkanen, Hannes Heikinheimo, Heikki Mannila...
RTAS
2005
IEEE
16 years 2 days ago
Bounding Worst-Case Data Cache Behavior by Analytically Deriving Cache Reference Patterns
While caches have become invaluable for higher-end architectures due to their ability to hide, in part, the gap between processor speed and memory access times, caches (and partic...
Harini Ramaprasad, Frank Mueller
CIKM
2008
Springer
15 years 8 months ago
Efficient sampling of information in social networks
As online social networking emerges, there has been increased interest to utilize the underlying social structure as well as the available social information to improve search. In...
Gautam Das, Nick Koudas, Manos Papagelis, Sushruth...