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CORR
2008
Springer
127views Education» more  CORR 2008»
14 years 9 months ago
A Very Efficient Scheme for Estimating Entropy of Data Streams Using Compressed Counting
Compressed Counting (CC) was recently proposed for approximating the th frequency moments of data streams, for 0 < 2. Under the relaxed strict-Turnstile model, CC dramaticall...
Ping Li
SAC
2002
ACM
14 years 9 months ago
Decision tree classification of spatial data streams using Peano Count Trees
Many organizations have large quantities of spatial data collected in various application areas, including remote sensing, geographical information systems (GIS), astronomy, compu...
Qiang Ding, Qin Ding, William Perrizo
ICDE
2009
IEEE
171views Database» more  ICDE 2009»
15 years 4 months ago
CoTS: A Scalable Framework for Parallelizing Frequency Counting over Data Streams
Applications involving analysis of data streams have gained significant popularity and importance. Frequency counting, frequent elements and top-k queries form a class of operato...
Sudipto Das, Shyam Antony, Divyakant Agrawal, Amr ...
COMPGEOM
2004
ACM
15 years 3 months ago
Deterministic sampling and range counting in geometric data streams
We present memory-efficient deterministic algorithms for constructing -nets and -approximations of streams of geometric data. Unlike probabilistic approaches, these deterministic...
Amitabha Bagchi, Amitabh Chaudhary, David Eppstein...
APWEB
2008
Springer
14 years 11 months ago
Aggregate Computation over Data Streams
Abstract. Nowadays, we have witnessed the widely recognized phenomenon of high speed data streams. Various statistics computation over data streams is often required by many applic...
Xuemin Lin, Ying Zhang