Now showing items 1-2 of 2

    • Low-code autoML-augmented data pipeline - a review and experiments 

      Gain, Ulla; Hotti, Virpi (IOP Publishing, 2021)
      There is a lack of knowledge concerning the low-code autoML (automated machine learning) frameworks that can be used to enrich data for several purposes concerning either data engineering or software engineering. In this ...
      Artikkelit ja abstraktit tieteellisissä konferenssijulkaisuissa

    • Types of Data Clarify Senses of Data Processing Purpose in Health Care 

      Mussalo, Petteri; Gain, Ulla; Hotti, Virpi (IOS Press, 2018)
      Data taxonomy facilitates data valuation. The origin-based data taxonomy contains four types of data (provided, observed, derived and inferred) and 10 subcategories. In this paper, we report the results of multivocal ...
      Artikkelit ja abstraktit tieteellisissä konferenssijulkaisuissa