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SIGMOD
2007
ACM
195views Database» more  SIGMOD 2007»
16 years 6 months ago
Effective variation management for pseudo periodical streams
Many database applications require the analysis and processing of data streams. In such systems, huge amounts of data arrive rapidly and their values change over time. The variati...
Lv-an Tang, Bin Cui, Hongyan Li, Gaoshan Miao, Don...
SIGMOD
2006
ACM
156views Database» more  SIGMOD 2006»
16 years 6 months ago
MauveDB: supporting model-based user views in database systems
Real-world data -- especially when generated by distributed measurement infrastructures such as sensor networks -- tends to be incomplete, imprecise, and erroneous, making it impo...
Amol Deshpande, Samuel Madden
SIGMOD
2005
ACM
77views Database» more  SIGMOD 2005»
16 years 6 months ago
On Joining and Caching Stochastic Streams
We consider the problem of joining data streams using limited cache memory, with the goal of producing as many result tuples as possible from the cache. Many cache replacement heu...
Jun Yang 0001, Junyi Xie, Yuguo Chen
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...
SIGMOD
2004
ACM
150views Database» more  SIGMOD 2004»
16 years 6 months ago
When one Sample is not Enough: Improving Text Database Selection Using Shrinkage
Database selection is an important step when searching over large numbers of distributed text databases. The database selection task relies on statistical summaries of the databas...
Panagiotis G. Ipeirotis, Luis Gravano
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