25 search results - page 1 / 5 » Finding hierarchical heavy hitters in streaming data |
TKDD
2008
13 years 6 months ago
2008
SIGMOD
2004
ACM
14 years 7 months ago
2004
ACM
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...
PODS
2005
ACM
14 years 13 days ago
2005
ACM
Heavy hitters, which are items occurring with frequency above a given threshold, are an important aggregation and summary tool when processing data streams or data warehouses. Hie...
PODS
2009
ACM
14 years 7 months ago
2009
ACM
The problem of finding heavy hitters and approximating the frequencies of items is at the heart of many problems in data stream analysis. It has been observed that several propose...
PODS
2009
ACM
14 years 7 months ago
2009
ACM
We consider the the problem of tracking heavy hitters and quantiles in the distributed streaming model. The heavy hitters and quantiles are two important statistics for characteri...