Improving Data Quality for Forecasting the Profitability of Pulp Sales



Title:	Improving Data Quality for Forecasting the Profitability of Pulp Sales Förbättring av datakvalitet för prognos av lönsamhet vid försäljning av cellulosamassa
Author(s):	Kauppi, Emil
Date:	2023-05-15
Language:	en
Pages:	74+1
Major/Subject:	Machine Learning, Data Science and Artificial Intelligence
Degree programme:	Master’s Programme in Computer, Communication and Information Sciences
Supervising professor(s):	Laaksonen, Jorma
Thesis advisor(s):	Kaivosoja, Joona
Keywords:	data quality, data quality management, bottom-up forecasting, forecast error analysis, pulp sales profitability
Location:	Archive OEV
» Show full item record
Permanent link to this item: http://urn.fi/URN:NBN:fi:aalto-202305213326 Email this Export to RefWorks QR Code Print BibTex Tweet