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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Linfeng Zhang Yong Guan |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA (Linfeng Zhang; Yong Guan) |
| Abstract | Capturing characteristics of large data streams has received considerable attention. The constraints in space and time often restrict the data stream processing to only one pass. Furthermore, processing data streams over sliding windows makes the problem more difficult and challenging. In this paper, we address the problem of estimating epsi-approximate frequency in data streams over sliding windows. We are the first who propose an efficient algorithm which can achieve O(1/epsi) space requirement and only need O(1) running time to process each item in the data stream and to answer a query. |
| Starting Page | 1385 |
| Ending Page | 1387 |
| File Size | 261493 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781424418367 |
| DOI | 10.1109/ICDE.2008.4497564 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-04-07 |
| Publisher Place | Mexico |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Frequency estimation Data mining Sampling methods Time factors Sensor phenomena and characterization Data analysis Monitoring Bandwidth Statistical analysis Large-scale systems |
| Content Type | Text |
| Resource Type | Article |
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