Babcock, Brian and Datar, Mayur and Motwani, Rajeev and O'Callaghan, Liadan (2002) Sliding Window Computations over Data Streams. Technical Report. Stanford InfoLab.
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Abstract
We extend the work from our earlier paper (SODA 2002), to maintain complex statistics in the sliding window model that cannot be estimated using previous techniques. In particular we consider the following two problems and provide solutions to them that require very less memory: estimating the variance and maintaining the cluster centers (k-medians).
| Item Type: | Techreport (Technical Report) |
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| Uncontrolled Keywords: | sliding windows, variance, clustering, k-medians |
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| Subjects: | Computer Science > Data Streams |
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| Projects: | STREAM |
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| Related URLs: | Project Homepage | http://infolab.stanford.edu/stream/ |
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| ID Code: | 538 |
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| Deposited By: | Import Account |
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| Deposited On: | 06 May 2002 17:00 |
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| Last Modified: | 25 Dec 2008 08:34 |
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