Recommending scientific datasets using author networks in ensemble methods

Recommending scientific datasets using author networks in ensemble methods. Wang, X., van Harmelen, F., & Huang, Z. Data Science, 5(2):167–193, July, 2022. Publisher: IOS Press

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Open access to datasets is increasingly driving modern science. Consequently, discovering such datasets is becoming an important functionality for scientists in many different fields. We investigate methods for dataset recommendation : the task of re

@article{wang_recommending_2022,
	title = {Recommending scientific datasets using author networks in ensemble methods},
	volume = {5},
	issn = {2451-8484},
	url = {https://content.iospress.com/articles/data-science/ds220056},
	doi = {10.3233/DS-220056},
	abstract = {Open access to datasets is increasingly driving modern science. Consequently, discovering such datasets is becoming an important functionality for scientists in many different fields. We investigate methods for dataset recommendation : the task of re},
	language = {en},
	number = {2},
	urldate = {2023-04-22},
	journal = {Data Science},
	author = {Wang, Xu and van Harmelen, Frank and Huang, Zhisheng},
	month = jul,
	year = {2022},
	note = {Publisher: IOS Press},
	pages = {167--193},
}

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