| Document Date: 2013-06-30 22:33:39
Open Document File Size: 573,05 KBShare Result on Facebook
Company SpaceSaving / / Event Reorganization / / Facility building O / / IndustryTerm mergeable heavy hitters algorithm / selection algorithm / post-processing step / data aggregation algorithms / randomized streaming algorithm / binary search / non-mergeable algorithms / random-sample-based and low-discrepancy-based algorithms / simulated sensor network / deterministic merging algorithms / streaming algorithm / merging algorithms / important tool / heavy hitter algorithms / above merging algorithms / sensor network / deterministic streaming algorithm / / Person Pankaj K. Agarwal / Graham Cormode / Jeff M. Phillips / / Position bounded-universe model / but not vice-versa / / ProgrammingLanguage D / / Technology merging algorithm / data aggregation algorithms / selection algorithm / MUD algorithm / merging algorithms / above merging algorithms / previous non-mergeable algorithms / randomized algorithms / random-sample-based and low-discrepancy-based algorithms / mergeable heavy hitters algorithm / randomized streaming algorithm / heavy hitter algorithms / second algorithm / deterministic merging algorithms / GK algorithm / two merging algorithms / streaming algorithm / two algorithms / deterministic streaming algorithm / /
SocialTag |
A Mergeable Summaries Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang, Jeff M. Phillips, Zhewei Wei, and Ke Yi We study the mergeability of data summaries. Informally speaking, mergeability requires that, given two