University of Twente Student Theses
Missing data imputation based on probabilistic data
Kampen, Coen van (2019) Missing data imputation based on probabilistic data.
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| Abstract: | Missing data is a vast problem in data science. Thereare different reasons that data might be missing. An ex-ample would be when people take a survey, but want tokeep some information private. There exist several goodmethods that try to handle missing data. The most un-ambiguous method involves deleting the missing values orrecords containing missing values. However, this is of-ten not preferred as too much information might be lost.Therefore, missing data is usually handled by predictingthe missing values using an imputation method. Goodimputation techniques exist, but they often introduce abias into the data. This research attempts to develop animproved imputation method based on probabilistic data.This method will be compared to known methods by adeveloped evaluation framework. It is assumed this novelmethod will improve data quality. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/79142 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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