Estimating Sufficient Sample Sizes for Approximate Decision Support Queries
Sampling schemes for approximate processing of highly selective decision support queries need to retrieve sufficient number of records that can provide reliable results within acceptable error limits. The k-MDI tree is an innovative index structure that supports drawing rich samples of relevant reco...
| Main Authors: | , , |
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| Format: | Book Chapter |
| Published: |
Springer
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/13163 |