loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Amit Rudra ; Raj P. Gopalan and N. R. Achuthan

Affiliation: Curtin University, Australia

ISBN: 978-989-8565-59-4

Keyword(s): Sampling, Approximate Query Processing, Data Warehousing, Inverse Simple Random Sample without Replacement (SRSWOR).

Related Ontology Subjects/Areas/Topics: Data Warehouses and OLAP ; Databases and Information Systems Integration ; Enterprise Information Systems ; Query Languages and Query Processing

Abstract: For highly selective queries, a simple random sample of records drawn from a large data warehouse may not contain sufficient number of records that satisfy the query conditions. Efficient sampling schemes for such queries require innovative techniques that can access records that are relevant to each specific query. In drawing the sample, it is advantageous to know what would be an adequate sample size for a given query. This paper proposes methods for picking adequate samples that ensure approximate query results with a desired level of accuracy. A special index based on a structure known as the k-MDI Tree is used to draw samples. An unbiased estimator named inverse simple random sampling without replacement is adapted to estimate adequate sample sizes for queries. The methods are evaluated experimentally on a large real life data set. The results of evaluation show that adequate sample sizes can be determined such that errors in outputs of most queries are within the acceptable limi t of 5%. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.85.214.0

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Rudra, A.; P. Gopalan, R. and R. Achuthan, N. (2013). Selecting Adequate Samples for Approximate Decision Support Queries.In Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8565-59-4, pages 46-55. DOI: 10.5220/0004444200460055

@conference{iceis13,
author={Amit Rudra. and Raj P. Gopalan. and N. R. Achuthan.},
title={Selecting Adequate Samples for Approximate Decision Support Queries},
booktitle={Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2013},
pages={46-55},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004444200460055},
isbn={978-989-8565-59-4},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Selecting Adequate Samples for Approximate Decision Support Queries
SN - 978-989-8565-59-4
AU - Rudra, A.
AU - P. Gopalan, R.
AU - R. Achuthan, N.
PY - 2013
SP - 46
EP - 55
DO - 10.5220/0004444200460055

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.