Efficient profiling for estimation of query result quality

Naiem K. Yeganeh; Shazia Sadiq; Mohamed A. Sharaf; Ke Deng

Efficient profiling for estimation of query result quality

Naiem K. Yeganeh, Shazia Sadiq, Mohamed A. Sharaf, Ke Deng

Research output: Contribution to conference › Paper › peer-review

Abstract

The issue of Data Quality (DQ) is of increasing importance as individuals as well as corporations are relying on multiple, often external sources of data to make decisions. Data quality profiles consist of statistical measurements about the quality of data sets. Query systems can use DQ profiles as a form of metadata to estimate the quality of a query result set. Traditional DQ profiling provides an estimate on the overall quality of a data set or data source, but quality of a query result can be remarkably different from the overall quality of the data set because conditions within the query typically select a subset of the data. In this paper we propose an efficient conditional DQ profiling method which can estimate the quality of a result set for a given query with guaranteed user definable level of accuracy.

Original language	English
Pages	415-426
Number of pages	12
Publication status	Published - 2011
Externally published	Yes
Event	16th International Conference on Information Quality, ICIQ 2011 - Adelaide, SA, Australia Duration: Nov 18 2011 → Nov 20 2011

Conference

Conference	16th International Conference on Information Quality, ICIQ 2011
Country/Territory	Australia
City	Adelaide, SA
Period	11/18/11 → 11/20/11

Keywords

Conditional data quality
Data quality profiling
Query result

ASJC Scopus subject areas

Information Systems
Safety, Risk, Reliability and Quality

Cite this

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abstract = "The issue of Data Quality (DQ) is of increasing importance as individuals as well as corporations are relying on multiple, often external sources of data to make decisions. Data quality profiles consist of statistical measurements about the quality of data sets. Query systems can use DQ profiles as a form of metadata to estimate the quality of a query result set. Traditional DQ profiling provides an estimate on the overall quality of a data set or data source, but quality of a query result can be remarkably different from the overall quality of the data set because conditions within the query typically select a subset of the data. In this paper we propose an efficient conditional DQ profiling method which can estimate the quality of a result set for a given query with guaranteed user definable level of accuracy.",

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pages = "415--426",

note = "16th International Conference on Information Quality, ICIQ 2011 ; Conference date: 18-11-2011 Through 20-11-2011",

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T1 - Efficient profiling for estimation of query result quality

AU - Yeganeh, Naiem K.

AU - Sadiq, Shazia

AU - Sharaf, Mohamed A.

AU - Deng, Ke

PY - 2011

Y1 - 2011

N2 - The issue of Data Quality (DQ) is of increasing importance as individuals as well as corporations are relying on multiple, often external sources of data to make decisions. Data quality profiles consist of statistical measurements about the quality of data sets. Query systems can use DQ profiles as a form of metadata to estimate the quality of a query result set. Traditional DQ profiling provides an estimate on the overall quality of a data set or data source, but quality of a query result can be remarkably different from the overall quality of the data set because conditions within the query typically select a subset of the data. In this paper we propose an efficient conditional DQ profiling method which can estimate the quality of a result set for a given query with guaranteed user definable level of accuracy.

AB - The issue of Data Quality (DQ) is of increasing importance as individuals as well as corporations are relying on multiple, often external sources of data to make decisions. Data quality profiles consist of statistical measurements about the quality of data sets. Query systems can use DQ profiles as a form of metadata to estimate the quality of a query result set. Traditional DQ profiling provides an estimate on the overall quality of a data set or data source, but quality of a query result can be remarkably different from the overall quality of the data set because conditions within the query typically select a subset of the data. In this paper we propose an efficient conditional DQ profiling method which can estimate the quality of a result set for a given query with guaranteed user definable level of accuracy.

KW - Conditional data quality

KW - Data quality profiling

KW - Query result

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M3 - Paper

AN - SCOPUS:84871545611

SP - 415

EP - 426

T2 - 16th International Conference on Information Quality, ICIQ 2011

Y2 - 18 November 2011 through 20 November 2011

ER -

Efficient profiling for estimation of query result quality

Abstract

Conference

Keywords

ASJC Scopus subject areas

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Cite this