Principled approaches to explainable data analysis and mining

Acronym

PAPADAM

Description of the granted funding

The main goal of data mining is to find and present knowledge from the given data. However, using off-the-shell data mining tools may be difficult as analyzing the discovered knowledge may turn into a difficult task. A typical approach to circumvent the problem is to perform additional post-processing steps on the obtained results. This approach may be problematic as choosing a suitable post-processing algorithm may be difficult and the obtained descriptions may not be faithful. The umbrella objective of the project is to develop new methods for producing directly explainable data mining results. Such methods can be achieved by using additional information, such as keywords, to find describable knowledge and its descriptions simultaneously. Such tools reduce the need for additional steps to gain insights about the given data.
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Starting year

2025

End year

2029

Granted funding

Nikolaj Tatti Orcid -palvelun logo
490 858 €


Funder

Research Council of Finland

Funding instrument

Academy projects

Decision maker

Scientific Council for Natural Sciences and Engineering
12.06.2025

Other information

Funding decision number

371746

Fields of science

Computer and information sciences

Research fields

Laskennallinen data-analyysi