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- 4 creator petar-ristoski.
- 4 type InProceedings.
- 4 label "4".
- 4 sameAs 4.
- 4 abstract "Background knowledge from Linked Open Data sources can be used to improve the results of a data mining problem at hand: predictive models can become more accurate, and descriptive models can reveal more interesting findings. However, collecting and integrating background knowledge is tedious manual work. In this paper we propose a set of desiderata, and identify the challenges for developing a framework for unsupervised generation of data mining features from Linked Data.".
- 4 hasAuthorList authorList.
- 4 title "Towards Linked Open Data enabled Data Mining: Strategies for Feature Generation, Propositionalization, Selection, and Consolidation".