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Diamond in the rough
2004
Proceedings of the 2004 ACM SIGMOD international conference on Management of data - SIGMOD '04
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 location; source and destination IP addresses). Providing an aggregate view of such data is important to summarize, visualize, and analyze. We develop the aggregate view based on certain hierarchically organized sets of large-valued regions ("heavy hitters"). Such Hierarchical Heavy Hitters (HHHs) were previously
doi:10.1145/1007568.1007588
dblp:conf/sigmod/CormodeKMS04
fatcat:3a7d7qxt3jftxdp536if35ezqm