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Sampling for big data
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Cormode, Graham and Duffield, Nick (2014) Sampling for big data. In: 20th ACM SIGKDD international conference on Knowledge discovery and data mining, New York, USA, 24-27 Aug 2014 p. 1975. ISBN 9781450329569. doi:10.1145/2623330.2630811
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Official URL: http://dx.doi.org/10.1145/2623330.2630811
Abstract
One response to the proliferation of large datasets has been to develop ingenious ways to throw resources at the problem, using massive fault tolerant storage architectures, parallel and graphical computation models such as MapReduce, Pregel and Giraph. However, not all environments can support this scale of resources, and not all queries need an exact response. This motivates the use of sampling to generate summary datasets that support rapid queries, and prolong the useful life of the data in storage. To be effective, sampling must mediate the tensions between resource constraints, data characteristics, and the required query accuracy. The state-of-the-art in sampling goes far beyond simple uniform selection of elements, to maximize the usefulness of the resulting sample. This tutorial reviews progress in sample design for large datasets, including streaming and graph-structured data. Applications are discussed to sampling network traffic and social networks.
| Item Type: | Conference Item (Paper) | ||||
|---|---|---|---|---|---|
| Divisions: | Faculty of Science > Computer Science | ||||
| Publisher: | ACM New York | ||||
| ISBN: | 9781450329569 | ||||
| Book Title: | Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '14 | ||||
| Official Date: | 24 August 2014 | ||||
| Dates: |
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| Page Range: | p. 1975 | ||||
| DOI: | 10.1145/2623330.2630811 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access | ||||
| Embodied As: | 1 | ||||
| Conference Paper Type: | Paper | ||||
| Title of Event: | 20th ACM SIGKDD international conference on Knowledge discovery and data mining | ||||
| Type of Event: | Conference | ||||
| Location of Event: | New York, USA | ||||
| Date(s) of Event: | 24-27 Aug 2014 | ||||
| Related URLs: |
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