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 PressPaper doi abstract bibtex 1 download 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},
}
Downloads: 1
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