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Chapter

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Title

Optimizing Data Integration Processes with the Support of Machine Learning - Is it really possible?

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2024

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • data integration process
  • ETL process
  • optimizing data integration process
  • user-defined functions
  • resource usage time series
  • machine learning
  • time series similarity
Pages (from - to)

91 - 94

URL

https://ceur-ws.org/Vol-3653/panel2.pdf

Book

Proceedings of the 26th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP 2024) co-located with the 27th International Conference on Extending Database Technology and the 27th International Conference on Database Theory (EDBT/ICDT 2024)

Presented on

26th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP 2024), 25.03.2024, Paestum, Italy

License type

CC BY (attribution alone)

Open Access Mode

publisher's website

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Ministry points / chapter

5

Ministry points / conference (CORE)

70

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