Data Quality Mining

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Conference object , Article 01 Jan 2019 Portugal English Publisher:Springer International Publishing

Authors: Alexandra Oliveira; A. Rita Gaio; Pilar Baylina; Carlos Rebelo; Luís Paulo Reis;

doi: 10.1007/978-3-030-16181-1_34

handle: 10400.22/14895

Data Quality Mining

- Summary
- Subjects
- Metrics

Abstract

We are living in a world of information abundance, surplus, and access. We have technologies to acquire any type of information but we still face the challenge of extracting the underlying valuable knowledge. Data analyses and mining processes may be severely impaired whenever data are corrupted by noise, ambiguity and distortions.

Country

Portugal

Related Organizations

Universidade Lusófona do Porto
Portugal
Polytechnic Institute of Porto
Portugal

Keywords

Validation, Improve quality, Data quality, Data Mining

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average