Data quality between promises and results

Paolo Papotti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Improving the quality of data is a crucial task for business, health, and scientific data. Several data cleaning algorithms have been translated into tools to identify and repair data errors such as outlying values, duplicate records, typos, missing values, and violations of rules in general [1], [2], [3], [4].

Original languageEnglish (US)
Title of host publication2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages200
Number of pages1
ISBN (Electronic)9781509021086
DOIs
StatePublished - Jun 20 2016
Event32nd IEEE International Conference on Data Engineering Workshops, ICDEW 2016 - Helsinki, Finland
Duration: May 16 2016May 20 2016

Other

Other32nd IEEE International Conference on Data Engineering Workshops, ICDEW 2016
CountryFinland
CityHelsinki
Period5/16/165/20/16

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Information Systems and Management
  • Computer Graphics and Computer-Aided Design

Cite this

Papotti, P. (2016). Data quality between promises and results. In 2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016 (pp. 200). [7495647] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDEW.2016.7495647