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SIGMOD
2005
ACM
220views Database» more  SIGMOD 2005»
14 years 4 months ago
Sampling Algorithms in a Stream Operator
Complex queries over high speed data streams often need to rely on approximations to keep up with their input. The research community has developed a rich literature on approximat...
Theodore Johnson, S. Muthukrishnan, Irina Rozenbau...
SSDBM
2007
IEEE
127views Database» more  SSDBM 2007»
13 years 10 months ago
A Fast Algorithm for Approximate Quantiles in High Speed Data Streams
We present a fast algorithm for computing approximate quantiles in high speed data streams with deterministic error bounds. For data streams of size N where N is unknown in advanc...
Qi Zhang, Wei Wang 0010
ICDM
2007
IEEE
254views Data Mining» more  ICDM 2007»
13 years 10 months ago
Sampling for Sequential Pattern Mining: From Static Databases to Data Streams
Sequential pattern mining is an active field in the domain of knowledge discovery. Recently, with the constant progress in hardware technologies, real-world databases tend to gro...
Chedy Raïssi, Pascal Poncelet
PODS
2010
ACM
232views Database» more  PODS 2010»
13 years 9 months ago
Optimal sampling from distributed streams
A fundamental problem in data management is to draw a sample of a large data set, for approximate query answering, selectivity estimation, and query planning. With large, streamin...
Graham Cormode, S. Muthukrishnan, Ke Yi, Qin Zhang
SIGMOD
2010
ACM
259views Database» more  SIGMOD 2010»
13 years 9 months ago
PODS: a new model and processing algorithms for uncertain data streams
Uncertain data streams, where data is incomplete, imprecise, and even misleading, have been observed in many environments. Feeding such data streams to existing stream systems pro...
Thanh T. L. Tran, Liping Peng, Boduo Li, Yanlei Di...