| |
| | 2005-19: Workload-Optimal Histograms on Streams (Site not responding. Last check: 2007-10-10) |
 | | Consider the case when the workload is explicitly stored and the input data is streamed in the time series model---the input is a vector of N components, and we are presented with the components, one at a time, in order. |
 | | We present an algorithm that uses polylogarithmic space, processes each new item in constant time, and, in polylogarithmic post-processing time, determines a (1+epsilon)-approximation to the optimal histogram. |
 | | This matches the space complexity, up to polylogarithmic factors, of the histogram construction on the stream when workload is uniform [Guha, Indyk, Muthukrishnan, and Strauss]. |
| dimacs.rutgers.edu /TechnicalReports/abstracts/2005/2005-19.html (291 words) |
|