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...
Many organizations have large quantities of spatial data collected in various application areas, including remote sensing, geographical information systems (GIS), astronomy, compu...
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 ...
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...
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...