Ontology Graph Embeddings and ILP for Financial Forecasting

Erten, Can and Kazakov, Dimitar Lubomirov orcid.org/0000-0002-0637-8106 (Accepted: 2021) Ontology Graph Embeddings and ILP for Financial Forecasting. In: Inductive Logic Programming, Proceedings of the 30th International Conference:. 30th International Conference on Inductive Logic Programming, 25-27 Oct 2021 LNAI . Springer , GRC . (In Press)

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 Springer Nature Switzerland AG.
Keywords: Ontology,financial forecasting,SEC financial reports,Inductive Logic Programming (ILP),unsupervised learning,graph embedding,Artificial Intelligence,Computer Science Applications
Dates:
  • Accepted: 20 September 2021
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 27 Sep 2021 09:50
Last Modified: 30 Nov 2021 01:07
Status: In Press
Publisher: Springer
Series Name: LNAI
Refereed: No

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