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2018 | OriginalPaper | Chapter

Extracting Format Transformation Examples from Manual Data Corrections

Authors : Nurzety A. Azuan, Suzanne M. Embury, Norman W. Paton

Published in: New Trends in Databases and Information Systems

Publisher: Springer International Publishing

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Abstract

One of the challenges in data analysis is the substantial cost of human involvement. Before any analysis can take place, data from heterogeneous sources must be cleaned, integrated and transformed into a uniform format. These tasks often require both technical skill and domain expertise. Current tools support data scientists by allowing them to define rules to carry out the preparation work, but the problem of the manual work needed to create such rules remains. We propose an approach that observes the updates made by data scientists when manually correcting errors in query results, and uses them to derive format transformation rules that can be applied to this and future query results.

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Footnotes
2
We use the implementation by Wu and Knoblock [11].
 
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Metadata
Title
Extracting Format Transformation Examples from Manual Data Corrections
Authors
Nurzety A. Azuan
Suzanne M. Embury
Norman W. Paton
Copyright Year
2018
Book
New Trends in Databases and Information Systems

Print ISBN: 978-3-030-00062-2

Electronic ISBN: 978-3-030-00063-9

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-030-00063-9_1

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