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An Automated Method for Detecting Data Quality Issues in Business Time-Series Datasets

Schröder, Merijn (2022) An Automated Method for Detecting Data Quality Issues in Business Time-Series Datasets. Master's Thesis / Essay, Computing Science.

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Abstract

De begeleider en/of auteur heeft geen toestemming gegeven tot het openbaar maken van de scriptie. The supervisor and/or the author did not authorize public publication of the thesis.

Item Type: Thesis (Master's Thesis / Essay)
Supervisor name: Azzopardi, G. and Mohsen, F.F.M.
Degree programme: Computing Science
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 26 Aug 2022 13:34
Last Modified: 26 Aug 2022 13:34
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/28495

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