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International Journal of Data Science and Analytics
Erschienen in: International Journal of Data Science and Analytics 1/2023

27.12.2022 | Editorial

Recent advances in domain-driven data mining

verfasst von: Chuanren Liu, Ehsan Fakharizadi, Tong Xu, Philip S. Yu

Erschienen in: International Journal of Data Science and Analytics | Ausgabe 1/2023

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Abstract

Data mining research has been significantly motivated by and benefited from real-world applications in novel domains. This special issue was proposed and edited to draw attention to domain-driven data mining and disseminate research in foundations, frameworks, and applications for data-driven and actionable knowledge discovery. Along with this special issue, we also organized a related workshop to continue the previous efforts on promoting advances in domain-driven data mining. This editorial report will first summarize the selected papers in the special issue, then discuss various industrial trends in the context of the selected papers, and finally document the keynote talks presented by the workshop. Although many scholars have made prominent contributions with the theme of domain-driven data mining, there are still various new research problems and challenges calling for more research investigations in the future. We hope this special issue is helpful for scholars working along this critically important line of research.
Nächster Artikel From data to interpretable models: machine learning for soil moisture forecasting

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Metadaten
Titel
Recent advances in domain-driven data mining
verfasst von
Chuanren Liu
Ehsan Fakharizadi
Tong Xu
Philip S. Yu
Publikationsdatum
27.12.2022
Verlag
Springer International Publishing
Erschienen in
International Journal of Data Science and Analytics / Ausgabe 1/2023
Print ISSN: 2364-415X
Elektronische ISSN: 2364-4168
DOI
https://doi.org/10.1007/s41060-022-00378-1

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