Estimating Sufficient Sample Sizes for Approximate Decision Support Queries

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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...

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Bibliographic Details
Main Authors:	Rudra, Amit, Gopalan, Raj, Achuthan, Narasimaha
Format:	Book Chapter
Published:	Springer 2014
Online Access:	http://hdl.handle.net/20.500.11937/13163

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