Data Quality Mining

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...

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Bibliographic Details
Main Author: Oliveira, Alexandra (author)
Other Authors: Gaio, Rita (author), Baylina, Pilar (author), Rebelo, Carlos (author), Reis, Luís Paulo (author)
Format: bookPart
Language:eng
Published: 2019
Subjects:
Data quality
Data Mining
Validation
Improve quality
Online Access:http://hdl.handle.net/10400.22/14895
Country:Portugal
Oai:oai:recipp.ipp.pt:10400.22/14895

Internet

http://hdl.handle.net/10400.22/14895

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